 |
|
|
KDD
2013 Conference Proceedings
Inderjit
S. Dhillon, Yehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley,
Rajesh Parekh, Jingrui He, Robert L. Grossman, & Ramasamy Uthurusamy
(editors), Proceedings of the 19th ACM SIGKDD Conference on Knowledge
Discovery and Data Mining, KDD'13, August 11–14, 2013, Chicago, Illinois,
USA. ACM 2013, ISBN 978-1-4503-2174-7.
Table
of Contents
|
| |
|
|
Keynote
Session 1
Scale-Out
Beyond Map-Reduce (Page
1)
Raghu Ramakrishnan
(Microsoft)
Team Members CISL (Microsoft) |
| |
Keynote
Session 2
The
Online Revolution: Education for Everyone (Page
2)
Andrew Ng (Stanford
University and Coursera)
Daphne Koller (Stanford University and Coursera) |
| |
Keynote
Session 3
Optimization
in Learning and Data Analysis (Page
3)
Stephen J. Wright
(University of Wisconsin-Madison) |
|
Keynote
Session 4
Predicting
the Present with Search Engine Data (Page
4)
Hal Varian (Google
Inc.) |
| |
Document
and Topic Models
One
Theme in All Views: Modeling Consensus Topics in Multiple Contexts (Page
5)
Jian Tang (Peking
University)
Ming Zhang (Peking University)
Qiaozhu Mei (University of Michigan)
Representing
Documents Through Their Readers (Page
14)
Khalid El-Arini
(Facebook)
Min Xu (Carnegie Mellon University)
Emily B. Fox (University of Washington)
Carlos Guestrin (University of Washington)
Text-Based
Measures of Document Diversity (Page
23)
Kevin Bache (University
of California, Irvine)
David Newman (University of California, Irvine)
Padhraic Smyth (University of California, Irvine)
Diversity
Maximization Under Matroid Constraints (Page
32)
Zeinab Abbassi
(Columbia University)
Vahab S. Mirrokni (Google Research)
Mayur Thakur (Google) |
| |
Social
Media
Connecting
Users Across Social Media Sites: A Behavioral-Modeling Approach (Page
41)
Reza Zafarani
(Arizona State University)
Huan Liu (Arizona State University)
Automatic
Selection of Social Media Responses to News (Page
50)
Tadej Štajner
(Jožef Stefan Institute)
Bart Thomee (Yahoo! Research)
Ana-Maria Popescu (Research Consultant)
Marco Pennacchiotti (eBay, Inc.)
Alejandro Jaimes (Yahoo! Research)
Estimating
Sharer Reputation via Social Data Calibration (Page
59)
Jaewon Yang (Stanford
University)
Bee-Chung Chen (LinkedIn)
Deepak Agarwal (LinkedIn)
Linking
Named Entities in Tweets with Knowledge Base via User Interest Modeling (Page
68)
Wei Shen (Tsinghua
University)
Jianyong Wang (Tsinghua University)
Ping Luo (HP Labs China)
Min Wang (Google Research) |
| |
Big
Data Frameworks
TurboGraph:
A Fast Parallel Graph Engine Handling Billion-Scale Graphs in a Single
PC (Page 77)
Wook-Shin Han
(POSTECH)
Sangyeon Lee (POSTECH)
Kyungyeol Park (POSTECH)
Jeong-Hoon Lee (POSTECH)
Min-Soo Kim (DGIST)
Jinha Kim (POSTECH)
Hwanjo Yu (POSTECH)
Beyond
Myopic Inference in Big Data Pipelines (Page
86)
Karthik Raman
(Cornell University)
Adith Swaminathan (Cornell University)
Johannes Gehrke (Cornell University)
Thorsten Joachims (Cornell University)
Big
Data Analytics with Small Footprint: Squaring the Cloud (Page
95)
John Canny (University
of California, Berkeley)
Huasha Zhao (University of California, Berkeley) |
| |
Graph
Mining
Denser
Than the Densest Subgraph: Extracting Optimal Quasi-Cliques with Quality
Guarantees (Page
104)
Charalampos E.A.P.A
Tsourakakis (Carnegie Mellon University)
Francesco Bonchi (Yahoo! Research)
Aristides Gionis (Aalto University)
Francesco Gullo (Yahoo! Research)
Maria Tsiarli (University of Pittsburgh)
Guided
Learning for Role Discovery (GLRD): Framework, Algorithms, and Applications (Page
113)
Sean Gilpin (University
of California, Davis)
Tina Eliassi-Rad (Rutgers University)
Ian Davidson (University of California, Davis)
Redundancy-Aware
Maximal Cliques (Page
122)
Jia Wang (Chinese
University of Hong Kong)
James Cheng (Chinese University of Hong Kong)
Ada Wai-Chee Fu (Chinese University of Hong Kong)
Selective
Sampling on Graphs for Classification (Page
131)
Quanquan Gu (University
of Illinois at Urbana-Champaign)
Charu Aggarwal (IBM T.J. Watson Research Center)
Jialu Liu (University of Illinois at Urbana-Champaign)
Jiawei Han (University of Illinois at Urbana-Champaign) |
| |
Classification
Density-Based
Logistic Regression (Page
140)
Wenlin Chen (Washington
University in St. Louis)
Yixin Chen (Washington University in St. Louis)
Yi Mao (Xidian University)
Baolong Guo (Xidian University)
MI2LS:
Multi-Instance Learning from Multiple Information Sources (Page
149)
Dan Zhang (Facebook
Incorporation)
Jingrui He (Stevens Institute of Technology)
Richard Lawrence (IBM T.J. Watson Research Center)
Querying
Discriminative and Representative Samples for Batch Mode Active Learning (Page
158)
Zheng Wang (Arizona
State University)
Jieping Ye (Arizona State University)
SVMpAUC^tight:
A New Support Vector Method for Optimizing Partial AUC Based on a Tight
Convex Upper Bound (Page
167)
Harikrishna Narasimhan
(Indian Institute of Science)
Shivani Agarwal (Indian Institute of Science) |
| |
Healthcare
and Bioinformatics
Succinct
Interval-Splitting Tree for Scalable Similarity Search of Compound-Protein
Pairs with Property Constraints (Page
176)
Yasuo Tabei (Japan
Science and Technology Agency)
Akihiro Kishimoto (IBM Research)
Masaaki Kotera (Kyoto University)
Yoshihiro Yamanishi (Kyushu University)
Multi-Source
Learning with Block-Wise Missing Data for Alzheimer'Ss Disease Prediction (Page
185)
Shuo Xiang (Arizona
State University)
Lei Yuan (Arizona State University)
Wei Fan (Huawei Noah's Ark Lab)
Yalin Wang (Arizona State University)
Paul M. Thompson (University of California, Los Angeles)
Jieping Ye (Arizona State University)
Network
Discovery via Constrained Tensor Analysis of fMRI Data (Page
194)
Ian Davidson (University
of California, Davis)
Sean Gilpin (University of California, Davis)
Owen Carmichael (University of California, Davis)
Peter Walker (United States Navy) |
| |
Recommender
Systems
Learning
to Question: Leveraging User Preferences for Shopping Advice (Page
203)
Mahashweta Das
(University of Texas at Arlington)
Gianmarco De Francisci Morales (Yahoo! Research)
Aristides Gionis (Aalto University and HIIT)
Ingmar Weber (Qatar Computing Research Institute)
Active
Learning and Search on Low-Rank Matrices (Page
212)
Dougal J. Sutherland
(Carnegie Mellon University)
Barnabás Póczos (Carnegie Mellon University)
Jeff Schneider (Carnegie Mellon University)
LCARS:
A Location-Content-Aware Recommender System (Page
221)
Hongzhi Yin (Peking
University)
Yizhou Sun (Northeastern University)
Bin Cui (Peking University)
Zhiting Hu (Peking University)
Ling Chen (University of Technology, Sydney) |
| |
Scalable
Methods for Big Data
Comparing
Apples to Oranges: A Scalable Solution with Heterogeneous Hashing (Page
230)
Mingdong Ou (Tsinghua
University)
Peng Cui (Tsinghua University)
Fei Wang (IBM Watson Research Center)
Jun Wang (IBM Watson Research Cente)
Wenwu Zhu (Tsinghua University)
Shiqiang Yang (Tsinghua University)
Fast
and Scalable Polynomial Kernels via Explicit Feature Maps (Page
239)
Ninh Pham (IT
University of Copenhagen)
Rasmus Pagh (IT University of Copenhagen)
Indexed
Block Coordinate Descent for Large-Scale Linear Classification with
Limited Memory (Page
248)
Ian E.-H. Yen
(National Taiwan University)
Chun-Fu Chang (National Taiwan University)
Ting-Wei Lin (National Taiwan University)
Shan-Wei Lin (National Taiwan University)
Shou-De Lin (National Taiwan University)
Recursive
Regularization for Large-Scale Classification with Hierarchical and
Graphical Dependencies (Page
257)
Siddharth Gopal
(Carnegie Mellon University)
Yiming Yang (Carnegie Mellon University) |
| |
Temporal/Social
Influence
Discovering
Latent Influence in Online Social Activities via Shared Cascade Poisson
Processes (Page
266)
Tomoharu Iwata
(University of Cambridge)
Amar Shah (University of Cambridge)
Zoubin Ghahramani (University of Cambridge)
STRIP:
Stream Learning of Influence Probabilities (Page
275)
Konstantin Kutzkov
(IT University of Copenhagen)
Albert Bifet (Yahoo! Research)
Francesco Bonchi (Yahoo! Research)
Aristides Gionis (Aalto University & HIIT)
Fast
Structure Learning in Generalized Stochastic Processes with Latent Factors (Page
284)
Mohammad Taha
Bahadori (University of Southern California)
Yan Liu (University of Southern California)
Eric P. Xing (Carnegie Mellon University) |
| |
Sparse
Learning
Robust
Sparse Estimation of Multiresponse Regression and Inverse Covariance
Matrix via the L2 Distance (Page
293)
Aurélie C. Lozano
(IBM T.J. Watson Research Center)
Huijing Jiang (IBM T.J. Watson Research Center)
Xinwei Deng (Virginia Tech)
Exact
Sparse Recovery with L0 Projections (Page
302)
Ping Li (Cornell
University)
Cun-Hui Zhang (Rutgers University)
Robust
Principal Component Analysis via Capped Norms (Page
311)
Qian Sun (Arizona
State University)
Shuo Xiang (Arizona State University)
Jieping Ye (Arizona State University) |
| |
Graph
Clustering
Flexible
and Robust Co-Regularized Multi-Domain Graph Clustering (Page
320)
Wei Cheng (University
of North Carolina at Chapel Hill)
Xiang Zhang (Case Western Reserve University)
Zhishan Guo (University of North Carolina at Chapel Hill)
Yubao Wu (Case Western Reserve University)
Patrick F. Sullivan (University of North Carolina at Chapel Hill)
Wei Wang (University of California at Los Angeles)
Graph
Cluster Randomization: Network Exposure to Multiple Universes (Page
329)
Johan Ugander
(Cornell University)
Brian Karrer (Facebook)
Lars Backstrom (Facebook)
Jon Kleinberg (Cornell University)
Social
Influence Based Clustering of Heterogeneous Information Networks (Page
338)
Yang Zhou (Georgia
Institute of Technology)
Ling Liu (Georgia Institute of Technology) |
| |
Diffusion
in Social Networks
Confluence:
Conformity Influence in Large Social Networks (Page
347)
Jie Tang (Tsinghua
University)
Sen Wu (Tsinghua University)
Jimeng Sun (IBM T.J. Watson Research Center)
The
Role of Information Diffusion in the Evolution of Social Networks (Page
356)
Lilian Weng (Indiana
University Bloomington)
Jacob Ratkiewicz (Google Inc.)
Nicola Perra (Northeastern University)
Bruno Gonçalves (Aix Marseille Université)
Carlos Castillo (Qatar Computing Research Institute)
Francesco Bonchi (Yahoo! Research Barcelona)
Rossano Schifanella (University of Torino)
Filippo Menczer (Indiana University, Bloomington)
Alessandro Flammini (Indiana University, Bloomington)
Information
Cascade at Group Scale (Page
401)
Milad Eftekhar
(University of Toronto)
Yashar Ganjali (University of Toronto)
Nick Koudas (University of Toronto)
Extracting
Social Events for Learning Better Information Diffusion Models (Page
365)
Shuyang Lin (University
of Illinois at Chicago)
Fengjiao Wang (University of Illinois at Chicago)
Qingbo Hu (University of Illinois at Chicago)
Philip S. Yu (University of Illinois at Chicago) |
| |
Time
Series and Spatial Data
Model
Selection in Markovian Processes (Page
374)
Assaf Hallak (Technion)
Dotan Di-Castro (Technion)
Shie Mannor (Technion)
DTW-D:
Time Series Semi-Supervised Learning from a Single Example (Page
383)
Yanping Chen (University
of California, Riverside)
Bing Hu (University of California, Riverside)
Eamonn Keogh (University of California, Riverside)
Gustavo E.A.P.A Batista (Universidade de São Paulo - USP)
Model-Based
Kernel for Efficient Time Series Analysis (Page
392)
Huanhuan Chen
(University of Science and Technology of China & University of Birmingham)
Fengzhen Tang (University of Birmingham)
Peter Tino (University of Birmingham)
Xin Yao (University of Birmingham)
Mining
Lines in the Sand: On Trajectory Discovery from Untrustworthy Data in
Cyber-Physical System (Page
410)
Lu-An Tang (University
of Illinois at Urbana-Champaign)
Xiao Yu (University of Illinois at Urbana-Champaign)
Quanquan Gu (University of Illinois at Urbana-Champaign)
Jiawei Han (University of Illinois at Urbana-Champaign)
Alice Leung (BBN Technology)
Thomas La Porta (The Pennsylvania State University) |
| |
Unsupervised
and Topic Learning
A
General Bootstrap Performance Diagnostic (Page
419)
Ariel Kleiner
(University of California, Berkeley)
Ameet Talwalkar (University of California, Berkeley)
Sameer Agarwal (University of California, Berkeley)
Ion Stoica (University of California, Berkeley)
Michael I. Jordan (University of California, Berkeley)
Subsampling
for Efficient and Effective Unsupervised Outlier Detection Ensembles (Page
428)
Arthur Zimek (University
of Alberta)
Matthew Gaudet (University of Alberta)
Ricardo J. G. B. Campello (University of Alberta)
Jörg Sander (University of Alberta)
A
Phrase Mining Framework for Recursive Construction of a Topical Hierarchy (Page
437)
Chi Wang (University
of Illinois at Urbana-Champaign)
Marina Danilevsky (University of Illinois at Urbana-Champaign)
Nihit Desai (University of Illinois at Urbana-Champaign)
Yinan Zhang (University of Illinois at Urbana-Champaign)
Phuong Nguyen (University of Illinois at Urbana-Champaign)
Thrivikrama Taula (University of Illinois at Urbana-Champaign)
Jiawei Han (University of Illinois at Urbana-Champaign)
Stochastic
Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation (Page
446)
James Foulds (University
of California, Irvine)
Levi Boyles (University of California, Irvine)
Christopher DuBois (University of California, Irvine)
Padhraic Smyth (University of California, Irvine)
Max Welling (University of Amsterdam) |
| |
Social
and Information Networks
WiseMarket:
A New Paradigm for Managing Wisdom of Online Social Users (Page
455)
Caleb Chen Cao
(The Hong Kong University of Science and Technology)
Yongxin Tong (The Hong Kong University of Science and Technology)
Lei Chen (The Hong Kong University of Science and Technology)
H. V. Jagadish (University of Michigan)
Multi-Label
Relational Neighbor Classification Using Social Context Features (Page
464)
Xi Wang (University
of Central Florida)
Gita Sukthankar (University of Central Florida)
Scalable
Text and Link Analysis with Mixed-Topic Link Models (Page
473)
Yaojia Zhu (University
of New Mexico)
Xiaoran Yan (University of New Mexico)
Lise Getoor (University of Maryland)
Cristopher Moore (Santa Fe Institute)
Collaborative
Boosting for Activity Classification in Microblogs (Page
482)
Yangqiu Song (Hong
Kong University of Science and Technology)
Zhengdong Lu (Noah's Ark Lab, Huawei)
Cane Wing-ki Leung (Noah's Ark Lab, Huawei)
Qiang Yang (Noah's Ark Lab, Huawei) |
| |
Graph
Mining and Sampling
Trace
Complexity of Network Inference (Page
491)
Bruno Abrahao
(Cornell University)
Flavio Chierichetti (Sapienza University)
Robert Kleinberg (Cornell University)
Alessandro Panconesi (Sapienza University)
Debiasing
Social Wisdom (Page
500)
Abhimanyu Das
(Microsoft Research)
Sreenivas Gollapudi (Microsoft Research)
Rina Panigrahy (Microsoft Research)
Mahyar Salek (Microsoft Research)
Mining
Discriminative Subgraphs From Global-State Networks (Page
509)
Sayan Ranu (IBM
Research)
Minh Hoang (University of California)
Ambuj Singh (University of California)
Approximate
Graph Mining with Label Costs (Page
518)
Pranay Anchuri
(RPI)
Mohammed J. Zaki (RPI)
Omer Barkol (HP Labs)
Shahar Golan (HP Labs)
Moshe Shamy (HP Software) |
| |
Rule
and Pattern Mining
Summarizing
Probabilistic Frequent Patterns: A Fast Approach (Page
527)
Chunyang Liu (University
of Technology, Sydney)
Ling Chen (University of Technology, Sydney)
Chengqi Zhang (University of Technology, Sydney)
Mining
High Utility Episodes in Complex Event Sequences (Page
536)
Cheng-Wei Wu (National
Cheng Kung University)
Yu-Feng Lin (National Cheng Kung University)
Philip S. Yu (University of Illinois at Chicago)
Vincent S. Tseng (National Cheng Kung University)
Mining
Frequent Graph Patterns with Differential Privacy (Page
545)
Entong Shen (North
Carolina State University)
Ting Yu (North Carolina State University) |
| |
Web
Mining
Statistical
Quality Estimation for General Crowdsourcing Tasks (Page
554)
Yukino Baba (The
University of Tokyo)
Hisashi Kashima (The University of Tokyo)
Psychological
Advertising: Exploring User Psychology for Click Prediction in Sponsored
Search (Page 563)
Taifeng Wang (Microsoft
Research Asia)
Jiang Bian (Microsoft Research Asia)
Shusen Liu (South China University of Technology)
Yuyu Zhang (Chinese Academy of Sciences)
Tie-Yan Liu (Microsoft Research Asia)
SiGMa:
Simple Greedy Matching for Aligning Large Knowledge Bases (Page
572)
Simon Lacoste-Julien
(INRIA, Paris)
Konstantina Palla (University of Cambridge)
Alex Davies (University of Cambridge)
Gjergji Kasneci (Microsoft Research)
Thore Graepel (Microsoft Research)
Zoubin Ghahramani (University of Cambridge) |
| |
Best
Paper Session
Simple
and Deterministic Matrix Sketching (Page
581)
Edo Liberty (Yahoo!
Labs)
A
Space Efficient Streaming Algorithm for Triangle Counting Using the
Birthday Paradox (Page
589)
Madhav Jha (The
Pennsylvania State University)
C. Seshadhri (Sandia National Laboratories)
Ali Pinar (Sandia National Laboratories)
Complete List of all Best Paper Awards
|
| |
Research
Poster Session
Who,
Where, When and What: Discover Spatio-Temporal Topics for Twitter Users (Page
605)
Quan Yuan (Nanyang
Technological University)
Gao Cong (Nanyang Technological University)
Zongyang Ma (Nanyang Technological University)
Aixin Sun (Nanyang Technological University)
Nadia Magnenat-Thalmann (Nanyang Technological University)
Multi-Label
Classification by Mining Label and Instance Correlations from Heterogeneous
Information Networks (Page
614)
Xiangnan Kong
(University of Illinois at Chicago)
Bokai Cao (Renmin University of China)
Philip S. Yu (University of Illinois at Chicago & King Abdulaziz
University)
Accurate
Intelligible Models with Pairwise Interactions (Page
623)
Yin Lou (Cornell
University)
Rich Caruana (Microsoft Research)
Johannes Gehrke (Cornell University)
Giles Hooker (Cornell University)
Spotting
Opinion Spammers Using Behavioral Footprints (Page
632)
Arjun Mukherjee
(University of Illinois at Chicago)
Abhinav Kumar (University of Illinois at Chicago)
Bing Liu (University of Illinois at Chicago)
Junhui Wang (University of Illinois at Chicago)
Meichun Hsu (HP Labs)
Malu Castellanos (HP Labs)
Riddhiman Ghosh (HP Labs) |
| |
An
Efficient ADMM Algorithm for Multidimensional Anisotropic Total Variation
Regularization Problems (Page
641)
Sen Yang (Arizona
State University)
Jie Wang (Arizona State University)
Wei Fan (Huawei Noah's Ark Lab)
Xiatian Zhang (Huawei Noah's Ark Lab)
Peter Wonka (Arizona State University)
Jieping Ye (Arizona State University)
Speeding
Up Large-Scale Learning with a Social Prior (Page
650)
Deepayan Chakrabarti
(Facebook Inc.)
Ralf Herbrich (Amazon Inc.)
FISM:
Factored Item Similarity Models for Top-N Recommender Systems (Page
659)
Santosh Kabbur
(University of Minnesota)
Xia Ning (NEC Laboratories America)
George Karypis (University of Minnesota)
Nonparametric
Hierarchal Bayesian Modeling in Non-Contractual Heterogeneous Survival
Data (Page 668)
Shouichi Nagano
(Nippon Telegraph and Telephone)
Yusuke Ichikawa (Nippon Telegraph and Telephone)
Noriko Takaya (Nippon Telegraph and Telephone)
Tadasu Uchiyama (Nippon Telegraph and Telephone)
Makoto Abe (The University of Tokyo)
Cross-Task
Crowdsourcing (Page
677)
Kaixiang Mo (Hong
Kong University of Science and Technology)
Erheng Zhong (Hong Kong University of Science and Technology)
Qiang Yang (Hong Kong University of Science and Technology & Huawei
Noah's Ark Lab)
Evaluating
the Crowd with Confidence (Page
686)
Manas Joglekar
(Stanford University)
Hector Garcia-Molina (Stanford University)
Aditya Parameswaran (Stanford University)
Inferring
Social Roles and Statuses in Social Networks (Page
695)
Yuchen Zhao (University
of Illinois at Chicago)
Guan Wang (University of Illinois at Chicago)
Philip S. Yu (University of Illinois at Chicago & King Abdulaziz
University)
Shaobo Liu (LinkedIn Corp.)
Simon Zhang (LinkedIn Corp.)
Adaptive
Collective Routing Using Gaussian Process Dynamic Congestion Models (Page
704)
Siyuan Liu (Carnegie
Mellon University)
Yisong Yue (Carnegie Mellon University)
Ramayya Krishnan (Carnegie Mellon University)
Maximizing
Acceptance Probability for Active Friending in Online Social Networks (Page
713)
De-Nian Yang (Academia
Sinica)
Hui-Ju Hung (Academia Sinica)
Wang-Chien Lee (The Pennsylvania State University)
Wei Chen (Microsoft Research Asia)
Mining
Evolutionary Multi-Branch Trees from Text Streams (Page
722)
Xiting Wang (Tsinghua
University & Microsoft Research Asia)
Shixia Liu (Microsoft Research Asia)
Yangqiu Song (Hong Kong University of Science and Technology)
Baining Guo (Microsoft Research Asia & Tsinghua University) |
| |
Active
Search on Graphs (Page
731)
Xuezhi Wang (Carnegie
Mellon University)
Roman Garnett (Carnegie Mellon University)
Jeff Schneider (Carnegie Mellon University)
Fast
Rank-2 Nonnegative Matrix Factorization for Hierarchical Document Clustering (Page
739)
Da Kuang (Georgia
Institute of Technology)
Haesun Park (Georgia Institute of Technology)
A
"Semi-Lazy" Approach to Probabilistic Path Prediction in Dynamic Environments (Page
748)
Jingbo Zhou (National
University of Singapore)
Anthony K. H. Tung (National University of Singapore)
Wei Wu (Institute for Infocomm Research, A*STAR)
Wee Siong Ng (Institute for Infocomm Research, A*STAR)
Optimizing
Parallel Belief Propagation in Junction Trees Using Regression (Page
757)
Lu Zheng (Carnegie
Mellon University)
Ole Mengshoel (Carnegie Mellon University)
Multi-Source
Deep Learning for Information Trustworthiness Estimation (Page
766)
Liang Ge (The
State University of New York at Buffalo)
Jing Gao (The State University of New York at Buffalo)
Xiaoyi Li (The State University of New York at Buffalo)
Aidong Zhang (The State University of New York at Buffalo)
Unsupervised
Link Prediction Using Aggregative Statistics on Heterogeneous Social
Networks (Page
775)
Tsung-Ting Kuo
(National Taiwan University)
Rui Yan (Peking University)
Yu-Yang Huang (National Taiwan University)
Perng-Hwa Kung (National Taiwan University)
Shou-De Lin (National Taiwan University)
Link
Prediction with Social Vector Clocks (Page
784)
Conrad Lee (University
College Dublin)
Bobo Nick (University of Konstanz)
Ulrik Brandes (University of Konstanz)
Pádraig Cunningham (University College Dublin)
Geo-Spotting:
Mining Online Location-Based Services for Optimal Retail Store Placement (Page
793)
Dmytro Karamshuk
(IMT Institute for Advanced Studies)
Anastasios Noulas (University of Cambridge)
Salvatore Scellato (University of Cambridge)
Vincenzo Nicosia (Queen Mary University of London)
Cecilia Mascolo (University of Cambridge) |
| |
Location-Aware
Publish/Subscribe (Page
802)
Guoliang Li (Tsinghua
University)
Yang Wang (Coordination Center of China)
Ting Wang (Tsinghua University)
Jianhua Feng (Tsinghua University)
Quadratic
Optimization to Identify Highly Heritable Quantitative Traits from Complex
Phenotypic Features (Page
811)
Jiangwen Sun (University
of Connecticut)
Jinbo Bi (University of Connecticut)
Henry R. Kranzler (University of Pennsylvania)
Repetition-Aware
Content Placement in Navigational Networks (Page
820)
Dóra Erdös (Boston
University)
Vatche Ishakian (Raytheon BBN Technologies)
Azer Bestavros (Boston University)
Evimaria Terzi (Boston University)
Scalable
All-Pairs Similarity Search in Metric Spaces (Page
829)
Ye Wang (The
Ohio State University)
Ahmed Metwally (Google Inc.)
Srinivasan Parthasarathy (The Ohio State University)
Massively
Parallel Expectation Maximization Using Graphics Processing Units (Page
838)
Muzaffer Can Altinigneli
(University of Munich)
Claudia Plant (Helmholtz Zentrum München Technische Universität)
Christian Böhm (University of Munich)
Auto-WEKA:
Combined Selection and Hyperparameter Optimization of Classification
Algorithms (Page
847)
Chris Thornton
(University of British Columbia)
Frank Hutter (University of British Columbia)
Holger H. Hoos (University of British Columbia)
Kevin Leyton-Brown (University of British Columbia)
Direct
Optimization of Ranking Measures for Learning to Rank Models (Page
856)
Ming Tan (Wright
State University)
Tian Xia (Wright State University)
Lily Guo (Wright State University)
Shaojun Wang (Wright State University) |
| |
Multi-Space
Probabilistic Sequence Modeling (Page
865)
Shuo Chen (Cornell
University)
Jiexun Xu (Cornell University)
Thorsten Joachims (Cornell University)
Towards
Never-Ending Learning from Time Series Streams (Page
874)
Yuan Hao (University
of California, Riverside)
Yanping Chen (University of California, Riverside)
Jesin Zakaria (University of California, Riverside)
Bing Hu (University of California, Riverside)
Thanawin Rakthanmanon (Kasetsart University)
Eamonn Keogh (University of California, Riverside)
Constrained
Stochastic Gradient Descent for Large-Scale Least Squares Problem (Page
883)
Yang Mu (University
of Massachusetts Boston)
Wei Ding (University of Massachusetts Boston)
Tianyi Zhou (University of Technology Sydney)
Dacheng Tao (University of Technology Sydney)
Making
Recommendations from Multiple Domains (Page
892)
Wei Chen (National
University of Singapore)
Wynne Hsu (National University of Singapore)
Mong Li Lee (National University of Singapore)
Cascading
Outbreak Prediction in Networks: A Data-Driven Approach (Page
901)
Peng Cui (Tsinghua
University)
Shifei Jin (Tsinghua University)
Linyun Yu (Tsinghua University)
Fei Wang (IBM T.J. Watson Research Center)
Wenwu Zhu (Tsinghua University)
Shiqiang Yang (Tsinghua University)
Combining
Latent Factor Model with Location Features for Event-Based Group Recommendation (Page
910)
Wei Zhang (Tsinghua
University)
Jianyong Wang (Tsinghua University)
Wei Feng (Tsinghua University)
Cost-Sensitive
Online Active Learning with Application to Malicious URL Detection (Page
919)
Peilin Zhao (Nanyang
Technological University)
Steven C. H. Hoi (Nanyang Technological University) |
| |
The
Bang for the Buck: Fair Competitive Viral Marketing From the Host Perspective (Page
928)
Wei Lu (University
of British Columbia)
Francesco Bonchi (Yahoo! Research)
Amit Goyal (University of British Columbia)
Laks V.S. Lakshmanan (University of British Columbia)
Modeling
the Dynamics of Composite Social Networks (Page
937)
Erheng Zhong (Hong
Kong University of Science and Technology)
Wei Fan (Huawei Noah's Ark Lab)
Yin Zhu (Hong Kong University of Science and Technology)
Qiang Yang (Hong Kong University of Science and Technology & Huawei
Noah's Ark Lab)
A
Time-Dependent Enhanced Support Vector Machine for Time Series Regression (Page
946)
Goce Ristanoski
(The University of Melbourne)
Wei Liu (The University of Melbourne)
James Bailey (The University of Melbourne)
A
New Collaborative Filtering Approach for Increasing the Aggregate Diversity
of Recommender Systems (Page
955)
Katja Niemann
(Fraunhofer Institute for Applied Information Technology)
Martin Wolpers (Fraunhofer Institute for Applied Information Technology)
Scalable
Inference in Max-Margin Topic Models (Page
964)
Jun Zhu (Tsinghua
University)
Xun Zheng (Tsinghua University)
Li Zhou (Tsinghua University)
Bo Zhang (Tsinghua University)
A
Data-Driven Method for In-game Decision Making in MLB: When to Pull
a Starting Pitcher (Page
973)
Gartheeban Ganeshapillai
(Massachusetts Institute of Technology)
John Guttag (Massachusetts Institute of Technology)
Exploiting
User Clicks for Automatic Seed Set Generation for Entity Matching (Page
980)
Xiao Bai (Yahoo!
Research)
Flavio P. Junqueira (Microsoft Research)
Srinivasan H. Sengamedu (Komli Labs) |
| |
Silence
Is Also Evidence: Interpreting Dwell Time for Recommendation from Psychological
Perspective (Page
989)
Peifeng Yin (The
Pennsylvania State University)
Ping Luo (Hewlett Packard Labs China)
Wang-Chien Lee (The Pennsylvania State University)
Min Wang (Google Research)
Efficient
Single-Source Shortest Path and Distance Queries on Large Graphs (Page
998)
Andy Diwen Zhu
(Nanyang Technological University)
Xiaokui Xiao (Nanyang Technological University)
Sibo Wang (Nanyang Technological University)
Wenqing Lin (Nanyang Technological University)
On
Community Detection in Real-World Networks and the Importance of Degree
Assortativity (Page
1007)
Marek Ciglan (Slovak
Academy of Sciences)
Michal Laclavík (Slovak Academy of Sciences)
Kjetil Nørvåg (Norwegian University of Science and Technology)
Trial
and Error in Influential Social Networks (Page
1016)
Xiaohui Bei (Nanyang
Technological University)
Ning Chen (Nanyang Technological University)
Liyu Dou (Nanyang Technological University)
Xiangru Huang (Shanghai Jiao Tong University)
Ruixin Qiang (Shanghai Jiao Tong University)
Collaborative
Matrix Factorization with Multiple Similarities for Predicting Drug-Target
Interactions (Page
1025)
Xiaodong Zheng
(Fudan University)
Hao Ding (Fudan University)
Hiroshi Mamitsuka (Kyoto University)
Shanfeng Zhu (Fudan University)
FeaFiner:
Biomarker Identification from Medical Data through Feature Generalization
and Selection (Page
1034)
Jiayu Zhou (Arizona
State University)
Zhaosong Lu (Simon Fraser University)
Jimeng Sun (IBM T.J. Watson Research Center)
Lei Yuan (Arizona State University)
Fei Wang (IBM T.J. Watson Research Center)
Jieping Ye (Arizona State University)
Learning
Geographical Preferences for Point-of-Interest Recommendation (Page
1043)
Bin Liu (Rutgers
University)
Yanjie Fu (Rutgers University)
Zijun Yao (Rutgers University)
Hui Xiong (Rutgers University)
Learning
Mixed Kronecker Product Graph Models with Simulated Method of Moments (Page
1052)
Sebastian Moreno
(Purdue University)
Jennifer Neville (Purdue University)
Sergey Kirshner (Purdue University) |
| |
Measuring
Spontaneous Devaluations in User Preferences (Page
1061)
Komal Kapoor (University
of Minnesota)
Nisheeth Srivastava (University of Minnesota)
Jaideep Srivastava (University of Minnesota)
Paul Schrater (University of Minnesota)
Mining
Evidences for Named Entity Disambiguation (Page
1070)
Yang Li (University
of California, Santa Barbara)
Chi Wang (University of Illinois at Urbana-Champaign)
Fangqiu Han (University of California, Santa Barbara)
Jiawei Han (University of Illinois at Urbana-Champaign)
Dan Roth (University of Illinois at Urbana-Champaign)
Xifeng Yan (University of California, Santa Barbara)
Privacy-Preserving
Data Exploration in Genome-Wide Association Studies (Page
1079)
Aaron Johnson
(U.S. Naval Research Laboratory)
Vitaly Shmatikov (The University of Texas at Austin)
Synthetic
Review Spamming and Defense (Page
1088)
Huan Sun (University
of California, Santa Barbara)
Alex Morales (University of California, Santa Barbara)
Xifeng Yan (University of California, Santa Barbara)
Information
Cartography: Creating Zoomable, Large-Scale Maps of Information (Page
1097)
Dafna Shahaf (Stanford
University)
Jaewon Yang (Stanford University)
Caroline Suen (Stanford University)
Jeff Jacobs (Stanford University)
Heidi Wang (Stanford University)
Jure Leskovec (Stanford University)
Restreaming
Graph Partitioning: Simple Versatile Algorithms for Advanced Balancing (Page
1106)
Joel Nishimura
(Cornell University)
Johan Ugander (Cornell University)
Understanding
Evolution of Research Themes: A Probabilistic Generative Model for Citations (Page
1115)
Xiaolong Wang
(University of Illinois, Urbana-Champaign)
Chengxiang Zhai (University of Illinois, Urbana-Champaign)
Dan Roth (University of Illinois, Urbana-Champaign)
On
the Equivalent of Low-Rank Linear Regressions and Linear Discriminant
Analysis Based Regressions (Page
1124)
Xiao Cai (University
of Texas at Arlington)
Chris Ding (University of Texas at Arlington)
Feiping Nie (University of Texas at Arlington)
Heng Huang (University of Texas at Arlington) |
| |
Industry
Practice Expo Invited Presentations
Industry
Practice Expo Chairs' Welcome
Rajesh Parekh
(Groupon)
Paul Bradley (MethodCare, Inc.)
To
Buy or Not to Buy - That Is the Question (Page
1133)
Oren Etzioni (University
of Washington)
Mining
the Digital Universe of Data to Develop Personalized Cancer Therapies (Page
1134)
Eric Schadt (Mount
Sinai School of Medicine)
The
Business Impact of Deep Learning (Page
1135)
Jeremy Howard
(Kaggle)
Adaptive
Adversaries: Building Systems to Fight Fraud and Cyber Intruders (Page
1136)
Ari Gesher (Palantir)
Targeting
and Influencing at Scale: From Presidential Elections to Social Good (Page
1137)
Rayid Ghani (University
of Chicago & Edgeflip)
Hadoop:
A View from the Trenches (Page
1138)
Milind Bhandarkar
(Pivotal)
Cyber
Security - How Visual Analytics Unlock Insight (Page
1139)
Raffael Marty
(Pixlcloud)
Using
"Big Data" to Solve "Small Data" Problems (Page
1140)
Chris Neumann
(Datahero) |
| |
Industy
Government Track
Industry
Government Program Chairs' Welcome
Rayid Ghani (University
of Chicago)
Ted E. Senator
(SAIC)
Industry
Government -- Deployed Presentations
Financing
Lead Triggers: Empowering Sales Reps Through Knowledge Discovery and
Fusion (Page 1141)
Kareem S. Aggour
(GE Global Research)
Bethany Hoogs (GE Global Research)
Query
Clustering Based on Bid Landscape for Sponsored Search Auction Optimization (Page
1150)
Ye Chen (Microsoft
Corporation)
Weiguo Liu (Microsoft Corporation)
Jeonghee Yi (Microsoft Corporation)
Anton Schwaighofer (Microsoft Corporation)
Tak W. Yan (Microsoft Corporation)
Analysis
of Advanced Meter Infrastructure Data of Water Consumption in Apartment
Buildings (Page
1159)
Einat Kermany
(IBM Research - Haifa)
Hanna Mazzawi (IBM Research - Haifa)
Dorit Baras (IBM Research - Haifa)
Yehuda Naveh (IBM Research - Haifa)
Hagai Michaelis (Arad Technologies) |
| |
Online
Controlled Experiments at Large Scale (Page
1168)
Ron Kohavi (Microsoft)
Alex Deng (Microsoft)
Brian Frasca (Microsoft)
Toby Walker (Microsoft)
Ya Xu (Microsoft)
Nils Pohlmann (Microsoft)
iHR:
An Online Recruiting System for Xiamen Talent Service Center (Page
1177)
Wenxing Hong (Xiamen
University)
Lei Li (Florida International University)
Tao Li (Florida International University)
Wenfu Pan (Xiamen Talent Service Center)
Dynamic
Memory Allocation Policies for Postings in Real-Time Twitter Search (Page
1186)
Nima Asadi (University
of Maryland)
Jimmy Lin (University of Maryland)
Michael Busch (Twitter)
A
Unified Search Federation System Based on Online User Feedback (Page
1195)
Luo Jie (Yahoo!
Labs)
Sudarshan Lamkhede (Yahoo! Labs)
Rochit Sapra (Yahoo! Search)
Evans Hsu (Yahoo! Taiwan)
Helen Song (Yahoo! Search)
Yi Chang (Yahoo! Labs)
Amplifying
the Voice of Youth in Africa via Text Analytics (Page
1204)
Prem Melville
(IBM Research)
Vijil Chenthamarakshan (IBM Research)
Richard D. Lawrence (IBM Rsearch)
James Powell (UNICEF Uganda)
Moses Mugisha (UNICEF Uganda)
Sharad Sapra (UNICEF Uganda)
Rajesh Anandan (US Fund for UNICEF)
Solomon Assefa (IBM Research)
Scalable
Supervised Dimensionality Reduction Using Clustering (Page
1213)
Troy Raeder (m6d
Research)
Claudia Perlich (m6d Research)
Brian Dalessandro (m6d Research)
Ori Stitelman (m6d Research)
Foster Provost (New York University & m6d Research) |
| |
Ad
Click Prediction: A View from the Trenches (Page
1222)
H. Brendan McMahan
(Google, Inc.)
Gary Holt (Google, Inc.)
D. Sculley (Google, Inc.)
Michael Young (Google, Inc.)
Dietmar Ebner (Google, Inc.)
Julian Grady (Google, Inc.)
Lan Nie (Google, Inc.)
Todd Phillips (Google, Inc.)
Eugene Davydov (Google, Inc.)
Daniel Golovin (Google, Inc.)
Sharat Chikkerur (Google, Inc.)
Dan Liu (Google, Inc.)
Martin Wattenberg (Google, Inc.)
Arnar Mar Hrafnkelsson (Google, Inc.)
Tom Boulos (Google, Inc.)
Jeremy Kubica (Google, Inc.)
Modeling
and Probabilistic Reasoning of Population Evacuation During Large-Scale
Disaster (Page
1231)
Xuan Song (The
University of Tokyo)
Quanshi Zhang (The University of Tokyo)
Yoshihide Sekimoto (The University of Tokyo)
Teerayut Horanont (The University of Tokyo)
Satoshi Ueyama (The University of Tokyo)
Ryosuke Shibasaki (The University of Tokyo)
Using
Co-Visitation Networks for Detecting Large Scale Online Display Advertising
Exchange Fraud (Page
1240)
Ori Stitelman
(m6d Research)
Claudia Perlich (m6d Research)
Brian Dalessandro (m6d Research)
Rod Hook (m6d Research)
Troy Raeder (m6d Research)
Foster Provost (NYU/Stern School and m6d Research)
An
Integrated Framework for Optimizing Automatic Monitoring Systems in
Large IT Infrastructures (Page
1249)
Liang Tang (Florida
International University)
Tao Li (Florida International University)
Larisa Shwartz (IBM Watson Research Center)
Florian Pinel (IBM Watson Research Center)
Genady Ya. Grabarnik (St. John's University)
Improving
Quality Control by Early Prediction of Manufacturing Outcomes (Page
1258)
Sholom M. Weiss
(IBM T.J. Watson Research Center)
Amit Dhurandhar (IBM T.J. Watson Research Center)
Robert J. Baseman (IBM T.J. Watson Research Center) |
| |
Industry
Government -- Discovery Presentations
A
Data Mining Driven Risk Profiling Method for Road Asset Management (Page
1267)
Daniel Emerson
(Queensland University of Technology)
Justin Z. Weligamage (Roadway Engineering Consultant)
Richi Nayak (Queensland University of Technology)
Why
People Hate Your App - Making Sense of User Feedback in a Mobile App
Store (Page 1276)
Bin Fu (Carnegie
Mellon University)
Jialiu Lin (Carnegie Mellon University)
Lei Li (University of California, Berkeley)
Christos Faloutsos (Carnegie Mellon University)
Jason Hong (Carnegie Mellon University)
Norman Sadeh (Carnegie Mellon University)
Towards
Long-Lead Forecasting of Extreme Flood Events: A Data Mining Framework
for Precipitation Cluster Precursors Identification (Page
1285)
Dawei Wang (University
of Massachusets, Boston)
Wei Ding (University of Massachusets, Boston)
Kui Yu (Hefei University of Technology)
Xindong Wu (University of Vermont)
Ping Chen (University of Houston-Downtown)
David L. Small (Tufts University)
Shafiqul Islam (Tufts University)
Predictive
Model Performance: Offline and Online Evaluations (Page
1294)
Jeonghee Yi (Microsoft
Corporation)
Ye Chen (Microsoft Corporation)
Jie Li (Microsoft Corporation)
Swaraj Sett (Microsoft Corporation)
Tak W. Yan (Microsoft Corporation) |
| |
Industry
Government -- Emerging Presentations
Uncertainty
in Online Experiments with Dependent Data: An Evaluation of Bootstrap
Methods (Page 1303)
Eytan Bakshy (Facebook)
Dean Eckles (Facebook)
Knowledge
Discovery from Massive Healthcare Claims Data (Page
1312)
Varun Chandola
(Oak Ridge National Laboratory)
Sreenivas R. Sukumar (Oak Ridge National Laboratory)
Jack Schryver (Oak Ridge National Laboratory)
Palette
Power: Enabling Visual Search Through Colors (Page
1321)
Anurag Bhardwaj
(eBay Research Labs)
Atish Das Sarma (eBay Research Labs)
Wei Di (eBay Research Labs)
Raffay Hamid (eBay Research Labs)
Robinson Piramuthu (eBay Research Labs)
Neel Sundaresan (eBay Research Labs)
Heat
Pump Detection from Coarse Grained Smart Meter Data with Positive and
Unlabeled Learning (Page
1330)
Hongliang Fei
(IBM T.J. Watson Research Center)
Younghun Kim (IBM T.J. Watson Research Center)
Sambit Sahu (IBM T.J. Watson Research Center)
Milind Naphade (IBM T.J. Watson Research Center)
Sanjay K. Mamidipalli (IBM Global Business Service)
John Hutchinson (IBM Global Business Service)
Empirical
Bayes Model to Combine Signals of Adverse Drug Reactions (Page
1339)
Rave Harpaz (Stanford
University)
William DuMouchel (Oracle Health Sciences & Observational Medical
Outcomes Partnership)
Paea LePendu (Stanford University)
Nigam H. Shah (Stanford University)
Efficiently
Rewriting Large Multimedia Application Execution Traces with Few Event
Sequences (Page
1348)
Christiane Kamdem
Kengne (University of Grenoble & University of Yasunde I)
Leon Constantin Fopa (University of Grenoble & University of Yasunde
I)
Alexandre Termier (University of Grenoble)
Noha Ibrahim (University of Grenoble)
Marie-Christine Rousset (University of Grenoble)
Takashi Washio (Osaka University)
Miguel Santana (STMicroelectronics)
Discriminant
Malware Distance Learning on Structural Information for Automated Malware
Classification (Page
1357)
Deguang Kong (University
of Texas at Arlington)
Guanhua Yan (Los Alamos National Laboratory) |
| |
Assessing
Team Strategy Using Spatiotemporal Data (Page
1366)
Patrick Lucey
(Disney Research Pittsburgh)
Dean Oliver (ESPN)
Peter Carr (Disney Research Pittsburgh)
Joe Roth (Disney Research Pittsburgh)
Iain Matthews (Disney Research Pittsburgh)
Exploratory
Analysis of Highly Heterogeneous Document Collections (Page
1375)
Arun S. Maiya
(Institute for Defense Analyses)
John P. Thompson (Institute for Defense Analyses)
Francisco Loaiza-Lemos (Institute for Defense Analyses)
Robert M. Rolfe (Institute for Defense Analyses)
Experience
from Hosting a Corporate Prediction Market: Benefits Beyond the Forecasts (Page
1384)
Thomas A. Montgomery
(Ford Motor Company)
Paul M. Stieg (Ford Motor Company)
Michael J. Cavaretta (Ford Motor Company)
Paul E. Moraal (Ford Motor Company)
Detecting
Insider Threats in a Real Corporate Database of Computer Usage Activity (Page
1393)
Ted E. Senator
(SAIC)
Henry G. Goldberg (SAIC)
Alex Memory (SAIC)
William T. Young (SAIC)
Brad Rees (SAIC)
Robert Pierce (SAIC)
Daniel Huang (SAIC)
Matthew Reardon (SAIC)
David A. Bader (Georgia Institute of Technology)
Edmond Chow (Georgia Institute of Technology)
Irfan Essa (Georgia Institute of Technology)
Joshua Jones (Georgia Institute of Technology)
Vinay Bettadapura (Georgia Institute of Technology)
Duen Horng Chau (Georgia Institute of Technology)
Oded Green (Georgia Institute of Technology)
Oguz Kaya (Georgia Institute of Technology)
Anita Zakrzewska (Georgia Institute of Technology)
Erica Briscoe (Georgia Institute of Technology)
Rudolph L. Mappus IV (Georgia Institute of Technology)
Robert McColl (Georgia Institute of Technology)
Lora Weiss (Georgia Institute of Technology)
Thomas G. Dietterich (Oregon State University)
Alan Fern (Oregon State University)
Weng-Keen Wong (Oregon State University)
Shubhomoy Das (Oregon State University)
Andrew Emmott (Oregon State University)
Jed Irvine (Oregon State University)
Jay-Yoon Lee (Carnegie Mellon University)
Danai Koutra (Carnegie Mellon University)
Christos Faloutsos (Carnegie Mellon University)
Daniel Corkill (University of Massachusetts)
Lisa Friedland (University of Massachusetts)
Amanda Gentzel (University of Massachusetts)
David Jensen (University of Massachusetts) |
| |
Mining
for Geographically Disperse Communities in Social Networks by Leveraging
Distance Modularity (Page
1402)
Paulo Shakarian
(U.S. Military Academy)
Patrick Roos (University of Maryland)
Devon Callahan (U.S. Military Academy)
Cory Kirk (U.S. Military Academy)
An
Integrated Framework for Suicide Risk Prediction (Page
1410)
Truyen Tran (Deakin
University and Curtin University)
Dinh Phung (Deakin University)
Wei Luo (Deakin University)
Richard Harvey (Barwon Health)
Michael Berk (Deakin University)
Svetha Venkatesh (Deakin University)
Gaussian
Multiple Instance Learning Approach for Mapping the Slums of the World
Using Very High Resolution Imagery (Page
1419)
Ranga Raju Vatsavai
(Oak Ridge National Laboratory)
A
Privacy Preserving Framework for Managing Vehicle Data in Road Pricing
Systems (Page 1427)
Huayu Wu (Institute
for Infocomm Research)
Wee Siong Ng (Institute for Infocomm Research)
Kian-Lee Tan (National University of Singapore)
Wei Wu (Institute for Infocomm Research)
Shili Xiang (Institute for Infocomm Research)
Mingqiang Xue (Institute for Infocomm Research)
U-Air:
When Urban Air Quality Inference Meets Big Data (Page
1436)
Yu Zheng (Microsoft
Research Asia)
Furui Liu (Microsoft Research Asia)
Hsun-Ping Hsieh (Microsoft Research Asia) |
| |
Panel
Panel:
A Data Scientist's Guide to Making Money from Start-Ups (Page
1445)
Foster Provost
(New York University)
Geoffrey I. Webb (Monash University) |
| |
Demonstrations
LAICOS:
An Open Source Platform for Personalized Social Web Search (Page
1446)
Mohamed Reda Bouadjenek
(PRiSM Laboratory, Versailles University)
Hakim Hacid (Sidetrade, France)
Mokrane Bouzeghoub (PRiSM Laboratory, Versailles University)
JobMiner:
A Real-Time System for Mining Job-Related Patterns from Social Media (Page
1450)
Yu Cheng (Northwestern
University)
Yusheng Xie (Northwestern University)
Zhengzhang Chen (Northwestern University)
Ankit Agrawal (Northwestern University)
Alok Choudhary (Northwestern University)
Songtao Guo (LinkedIn)
Inferring
Distant-Time Location in Low-Sampling-Rate Trajectories (Page
1454)
Meng-Fen Chiang
(National Chiao Tung University)
Yung-Hsiang Lin (National Chiao Tung University)
Wen-Chih Peng (National Chiao Tung University)
Philip S. Yu (University of Illinois at Chicago)
AMETHYST:
A System for Mining and Exploring Topical Hierarchies of Heterogeneous
Data (Page 1458)
Marina Danilevsky
(University of Illinois at Urbana-Champaign)
Chi Wang (University of Illinois at Urbana-Champaign)
Fangbo Tao (University of Illinois at Urbana-Champaign)
Son Nguyen (University of Illinois at Urbana-Champaign)
Gong Chen (University of Illinois at Urbana-Champaign)
Nihit Desai (University of Illinois at Urbana-Champaign)
Lidan Wang (University of Illinois at Urbana-Champaign)
Jiawei Han (University of Illinois at Urbana-Champaign)
A
Tool for Collecting Provenance Data in Social Media (Page
1462)
Pritam Gundecha
(Arizona State University)
Suhas Ranganath (Arizona State University)
Zhuo Feng (Arizona State University)
Huan Liu (Arizona State University)
STED:
Semi-Supervised Targeted-Interest Event Detection in Twitter (Page
1466)
Ting Hua (Virginia
Tech)
Feng Chen (Carnegie Mellon University)
Liang Zhao (Virginia Tech)
Chang-Tien Lu (Virginia Tech)
Naren Ramakrishnan (Virginia Tech)
Forex-Foreteller:
Currency Trend Modeling Using News Articles (Page
1470)
Fang Jin (Virginia
Tech)
Nathan Self (Virginia Tech)
Parang Saraf (Virginia Tech)
Patrick Butler (Virginia Tech)
Wei Wang (Virginia Tech)
Naren Ramakrishnan (Virginia Tech)
Real-Time
Disease Surveillance Using Twitter Data: Demonstration on Flu and Cancer (Page
1474)
Kathy Lee (Northwestern
University)
Ankit Agrawal (Northwestern University)
Alok Choudhary (Northwestern University)
KeySee:
Supporting Keyword Search on Evolving Events in Social Streams (Page
1478)
Pei Lee (University
of British Columbia)
Laks V.S. Lakshmanan (University of British Columbia)
Evangelos Milios (Dalhousie University)
Understanding
Twitter Data with TweetXplorer (Page
1482)
Fred Morstatter
(Arizona State University)
Shamanth Kumar (Arizona State University)
Huan Liu (Arizona State University)
Ross Maciejewski (Arizona State University) |
| |
An
Online System with End-User Services: Mining Novelty Concepts from TV
Broadcast Subtitles (Page
1486)
Mika Rautiainen
(CSE, University of Oulu)
Jouni Sarvanko (CSE, University of Oulu)
Arto Heikkinen (CSE, University of Oulu)
Mika Ylianttila (CIE, University of Oulu)
Vassilis Kostakos (CSE, University of Oulu)
When
TEDDY Meets GrizzLY: Temporal Dependency Discovery for Triggering Road
Deicing Operations (Page
1490)
Céline Robardet
(Université de Lyon)
Vasile-Marian Scuturici (Université de Lyon)
Marc Plantevit (Université de Lyon)
Antoine Fraboulet (HiKoB)
EventCube:
Multi-Dimensional Search and Mining of Structured and Text Data (Page
1494)
Fangbo Tao (University
of Illinois at Urbana-Champaign)
Kin Hou Lei (University of Illinois at Urbana-Champaign)
Jiawei Han (University of Illinois at Urbana-Champaign)
ChengXiang Zhai (University of Illinois at Urbana-Champaign)
Xiao Cheng (University of Illinois at Urbana-Champaign)
Marina Danilevsky (University of Illinois at Urbana-Champaign)
Nihit Desai (University of Illinois at Urbana-Champaign)
Bolin Ding (University of Illinois at Urbana-Champaign)
Jing Ge Ge (University of Illinois at Urbana-Champaign)
Heng Ji (City University of New York)
Rucha Kanade (University of Illinois at Urbana-Champaign)
Anne Kao (Boeing Research & Technology)
Qi Li (City University of New York)
Yanen Li (University of Illinois at Urbana-Champaign)
Cindy Xide Lin (University of Illinois at Urbana-Champaign)
Jialu Liu (University of Illinois at Urbana-Champaign)
Nikunj Oza (NASA)
Ashok Srivastava (NASA)
Rod Tjoelker (Boeing Research & Technology)
Chi Wang (University of Illinois at Urbana-Champaign)
Duo Zhang (University of Illinois at Urbana-Champaign)
Bo Zhao (University of Illinois at Urbana-Champaign)
SEA:
A System for Event Analysis on Chinese Tweets (Page
1498)
Yaqiong Wang (Beihang
University)
Hongfu Liu (Beihang University)
Hao Lin (Beihang University)
Junjie Wu (Beihang University)
Zhiang Wu (Nanjing University of Finance and Economics)
Jie Cao (Nanjing University of Finance and Economics)
SAE:
Social Analytic Engine for Large Networks (Page
1502)
Yang Yang (Tsinghua
University)
Jianfei Wang (Tsinghua University)
Yutao Zhang (Tsinghua University)
Wei Chen (Tsinghua University)
Jing Zhang (Tsinghua University)
Honglei Zhuang (Tsinghua University)
Zhilin Yang (Tsinghua University)
Bo Ma (Tsinghua University)
Zhanpeng Fang (Tsinghua University)
Sen Wu (Tsinghua University)
Xiaoxiao Li (Tsinghua University)
Debing Liu (Tsinghua University)
Jie Tang (Tsinghua University) |
| |
FIU-Miner:
A Fast, Integrated, and User-Friendly System for Data Mining in Distributed
Environment (Page
1506)
Chunqiu Zeng (Florida
International University)
Yexi Jiang (Florida International University)
Li Zheng (Florida International University)
Jingxuan Li (Florida International University)
Lei Li (Florida International University)
Hongtai Li (Florida International University)
Chao Shen (Florida International University)
Wubai Zhou (Florida International University)
Tao Li (Florida International University)
Bing Duan (ChangHong COC Display Devices Co., Ltd.)
Ming Lei (ChangHong COC Display Devices Co., Ltd.)
Pengnian Wang (ChangHong COC Display Devices Co., Ltd.)
LAFT-Explorer:
Inferring, Visualizing and Predicting How Your Social Network Expands (Page
1510)
Jun Zhang (Tsinghua
University & Ministry of Education)
Chaokun Wang (Tsinghua University)
Yuanchi Ning (Tsinghua University & Ministry of Education)
Yichi Liu (Tsinghua University & Ministry of Education)
Jianmin Wang (Tsinghua University & Ministry of Education)
Philip S. Yu (University of Illinois at Chicago)
A
Transfer Learning Based Framework of Crowd-Selection on Twitter (Page
1514)
Zhou Zhao (The
Hong Kong University of Science and Technology)
Da Yan (The Hong Kong University of Science and Technology)
Wilfred Ng (The Hong Kong University of Science and Technology)
Shi Gao (The Hong Kong University of Science and Technology)
Risk-O-Meter:
An Intelligent Clinical Risk Calculator (Page
1518)
Kiyana Zolfaghar
(University of Washington-Tacoma)
Jayshree Agarwal (University of Washington-Tacoma)
Deepthi Sistla (University of Washington-Tacoma)
Si-Chi Chin (University of Washington-Tacoma)
Senjuti Basu Roy (University of Washington-Tacoma)
Nele Verbiest (Ghent University) |
|
Tutorials
Algorithmic
Techniques for Modeling and Mining Large Graphs (AMAzING) (Page
1523)
Alan Frieze (Carnegie
Mellon University)
Aristides Gionis (Aalto University)
Charalampos Tsourakakis (Aalto Science Fellow)
Mining
Data from Mobile Devices: A Survey of Smart Sensing and Analytics (Page
1524)
Spiros Papadimitriou
Tina Eliassi-Rad (Rutgers University)
Big
Data Analytics for Healthcare (Page
1525)
Jimeng Sun
(IBM TJ Watson Research Center)
Chandan K. Reddy (Wayne State University) |
| |
Entity
Resolution for Big Data (Page
1527)
Lise Getoor (University
of Maryland, College Park)
Ashwin Machanavajjhala (Duke University)
Network
Sampling (Page
1528)
Mohammad A. Hasan
(Indiana University–Purdue University, Indianapolis)
Jennifer Neville (Purdue University)
Nesreen Ahmed (Purdue University)
The
Dataminer’s Guide to Scalable Mixed-Membership and Nonparametric Bayesian
Models (Page 1529)
Dr. Amr Ahmed
(Google)
Dr. Alex Smola (Carnegie Mellon University) |
| |
|