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Author Index
Ma,
Yiming Activity Ranking in LinkedIn Feed (Page 1603)
Maas,
Andrew L. Sentiment Expression Conditioned by Affective Transitions and Social Forces (Page 1136)
Macskassy,
Sofus A.
KDD
2014 General Chairs’ Welcome Message: This Year’s Theme: Data Science
for Social Good
Maehara,
Takanori Efficient SimRank Computation via Linearization (Page 1426)
Network Structural Analysis via Core-Tree-Decomposition (Page 1476)
Mamoulis,
Nikos Representative Clustering of Uncertain Data (Page 243)
Manco,
Giuseppe Who to Follow and Why: Link Prediction with Explanations (Page 1266)
Marathe,
Achla Beating the News' with EMBERS: Forecasting Civil Unrest Using Open Source Indicators (Page 1799)
Marathe,
Madhav Computational Epidemiology (Page 1969)
ISIS: A Networked-Epidemiology Based Pervasive Web App for Infectious Disease Pandemic Planning and Response (Page 1847)
Marchetti,
Andrea EARS (Earthquake Alert and Report System): A Real Time Decision Support System for Earthquake Crisis Management (Page 1749)
Mares,
David Beating the News' with EMBERS: Forecasting Civil Unrest Using Open Source Indicators (Page 1799)
Mark,
Roger Management and Analytic of Biomedical Big Data with Cloud-Based In-Memory Database and Dynamic Querying: A Hands-on Experience with Real-world Data (Page 1970)
Martens,
David Corporate Residence Fraud Detection (Page 1650)
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Mason,
Peter An Empirical Study of Reserve Price Optimisation in Real-Time Bidding (Page 1897)
Matsubara,
Yasuko FUNNEL: Automatic Mining of Spatially Coevolving Epidemics (Page 105)
Meletti,
Carlo EARS (Earthquake Alert and Report System): A Real Time Decision Support System for Earthquake Crisis Management (Page 1749)
Melli,
Gabor Shallow Semantic Parsing of Product Offering Titles (for better automatic hyperlink insertion) (Page 1670)
Melville,
Prem
Industry
& Government Track Welcome From Program Chairs
Miklau,
Gerome Exponential Random Graph Estimation under Differential Privacy (Page 921)
Min,
Martin Renqiang Factorized Sparse Learning Models with Interpretable High Order Feature Interactions (Page 552)
Minnaert,
Bart Corporate Residence Fraud Detection (Page 1650)
Mirzasoleiman,
Baharan Streaming Submodular Maximization: Massive Data Summarization on the Fly (Page 671)
Mishra,
Swapnil Experiments with Non-Parametric Topic Models (Page 881)
Mitchell,
Tom M. Good-Enough Brain Model: Challenges, Algorithms and Discoveries in Multi-Subject Experiments (Page 95)
Mobasher,
Bamshad The Recommender Problem Revisited: Morning Tutorial (Page 1971)
Moerchen,
Fabian Log-based Predictive Maintenance (Page 1867)
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Moeyersoms,
Julie Corporate Residence Fraud Detection (Page 1650)
Mojsilovic,
Aleksandra Predicting Employee Expertise for Talent Management in the Enterprise (Page 1729)
Mu,
Yadong Supervised Deep Learning with Auxiliary Networks (Page 353)
Mukherjee,
Animesh On the Permanence of Vertices in Network Communities (Page 1396)
Mukherjee,
Subhabrata People on Drugs: Credibility of User Statements in Health Communities (Page 65)
Mullainathan,
Sendhil Bugbears Or Legitimate Threats? (Social) Scientists' Criticisms of Machine Learning? (Page 4)
Müller,
Emmanuel Focused Clustering and Outlier Detection in Large Attributed Graphs (Page 1346)
Munro,
Robert Bringing Data Science to the Speakers of Every Language (Page 1523)
Murphy,
Kevin Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion (Page 601)
Muthiah,
Sathappan Beating the News' with EMBERS: Forecasting Civil Unrest Using Open Source Indicators (Page 1799)
Myers,
Jeffrey N. Automated Hypothesis Generation Based on Mining Scientific Literature (Page 1877)
Nagarajan,
Meena Automated Hypothesis Generation Based on Mining Scientific Literature (Page 1877)
Naumann,
Tristan Unfolding Physiological State: Mortality Modelling in Intensive Care Units (Page 75)
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Neill,
Daniel B. Non-Parametric Scan Statistics for Event Detection and Forecasting in Heterogeneous Social Media Graphs (Page 1166)
Neville,
Jennifer Graph Sample and Hold: A Framework for Big-Graph Analytics (Page 1446)
Ni,
Jingchao Inside the Atoms: Ranking on a Network of Networks (Page 1356)
Nie,
Feiping Clustering and Projected Clustering with Adaptive Neighbors (Page 977)
Large-Scale Adaptive Semi-Supervised Learning via Unified Inductive and Transductive Model (Page 482)
Obradovic,
Zoran Utilizing Temporal Patterns for Estimating Uncertainty in Interpretable Early Decision Making (Page 402)
Ono,
Shingo Filling Context-Ad Vocabulary Gaps with Click Logs (Page 1955)
Ortega,
Antonio Active Semi-Supervised Learning Using Sampling Theory for Graph Signals (Page 492)
Ostroff,
Rachel Factorized Sparse Learning Models with Interpretable High Order Feature Interactions (Page 552)
Outhred,
Geoff Scalable Near Real-Time Failure Localization of Data Center Networks (Page 1689)
Palpanas,
Themis Dynamics of News Events and Social Media Reaction (Page 901)
Pan,
Rong Fast Dtt — A Near Linear Algorithm for Decomposing A Tensor into Factor Tensors (Page 967)
Panhuis,
Willem G. van FUNNEL: Automatic Mining of Spatially Coevolving Epidemics (Page 105)
Papailiopoulos,
Dimitris Provable Deterministic Leverage Score Sampling (Page 997)
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Papalexakis,
Evangelos E. Good-Enough Brain Model: Challenges, Algorithms and Discoveries in Multi-Subject Experiments (Page 95)
Parikh,
Neha Automated Hypothesis Generation Based on Mining Scientific Literature (Page 1877)
Park,
Yubin LUDIA: an Aggregate-Constrained Low-Rank Reconstruction Algorithm to Leverage Publicly Released Health Data (Page 55)
Pasumarthi,
Rama Kumar A Bayesian Framework for Estimating Properties of Network Diffusions (Page 1216)
Pei,
Jian Distance Metric Learning Using Dropout: A Structured Regularization Approach (Page 323)
Perkins,
Matt Proactive Workflow Modeling By Stochastic Processes with Application to Healthcare Operation and Management (Page 1593)
Perlich,
Claudia
KDD
2014 General Chairs’ Welcome Message: This Year’s Theme: Data Science
for Social Good
Scalable Hands-Free Transfer Learning for Online Advertising (Page 1573)
Perozzi,
Bryan DeepWalk: Online Learning of Social Representations (Page 701)
Focused Clustering and Outlier Detection in Large Attributed Graphs (Page 1346)
Pickering,
Curtis R. Automated Hypothesis Generation Based on Mining Scientific Literature (Page 1877)
Piramuthu,
Robinson Large Scale Visual Recommendations from Street Fashion Images (Page 1925)
Plant,
Claudia Relevant Overlapping Subspace Clusters on Categorical Data (Page 213)
Polozov,
Oleksandr LaSEWeb: Automating Search Strategies over Semi-Structured Web Data (Page 741)
Potts,
Christopher Sentiment Expression Conditioned by Affective Transitions and Social Forces (Page 1136)
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Prabhu,
Yashoteja FastXML: A Fast, Accurate and Stable Tree-Classifier for eXtreme Multi-label Learning (Page 263)
Prakash,
B. Aditya Modeling Mass Protest Adoption in Social Network Communities Using Geometric Brownian Motion (Page 1660)
Fast Influence-based Coarsening for Large Networks (Page 1296)
Prapanca,
Andy FoodSIS: A Text Mining System to Improve the State of Food Safety in Singapore (Page 1709)
Provost,
Foster Corporate Residence Fraud Detection (Page 1650)
Scalable Hands-Free Transfer Learning for Online Advertising (Page 1573)
Pulleyblank,
William Reducing Gang Violence Through Network Influence Based Targeting of Social Programs (Page 1829)
Purohit,
Manish Fast Influence-based Coarsening for Large Networks (Page 1296)
Purushotham,
Sanjay Factorized Sparse Learning Models with Interpretable High Order Feature Interactions (Page 552)
Qian,
Buyue Clinical Risk Prediction with Multilinear Sparse Logistic Regression (Page 145)
Qian,
Hui Improving the Modified Nyström Method Using Spectral Shifting (Page 611)
Qian,
Qi Distance Metric Learning Using Dropout: A Structured Regularization Approach (Page 323)
Qiu,
Minghui Jointly Modeling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS) (Page 193)
Qu,
Meng A Cost-Effective Recommender System for Taxi Drivers (Page 45)
Radhakrishnan,
Regunathan Unveiling Clusters of Events for Alert and Incident Management in Large-Scale Enterprise IT (Page 1630)
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Radosavljevic,
Vladan Utilizing Temporal Patterns for Estimating Uncertainty in Interpretable Early Decision Making (Page 402)
Radosavljevik,
Dejan Large Scale Predictive Modeling for Micro-Simulation of 3G Air Interface Load (Page 1620)
Raeder,
Troy Scalable Hands-Free Transfer Learning for Online Advertising (Page 1573)
Raghu,
Rashmi Unveiling Clusters of Events for Alert and Incident Management in Large-Scale Enterprise IT (Page 1630)
Rajwa,
Bartek Batch Discovery of Recurring Rare Classes Toward Identifying Anomalous Samples (Page 223)
Ramakrishnan,
Naren Beating the News' with EMBERS: Forecasting Civil Unrest Using Open Source Indicators (Page 1799)
Modeling Mass Protest Adoption in Social Network Communities Using Geometric Brownian Motion (Page 1660)
Ramakrishnan,
Raghu Does Social Good Justify Risking Personal Privacy? (Page 1965)
Ramamurthy,
Vivek Unveiling Clusters of Events for Alert and Incident Management in Large-Scale Enterprise IT (Page 1630)
Raman,
Karthik Methods for Ordinal Peer Grading (Page 1037)
Ramnath,
Krishnan Mining Text Snippets for Images on the Web (Page 1534)
Rao,
Adithya LASTA: Large Scale Topic Assignment on Multiple Social Networks (Page 1809)
Ravi,
Sujith Reducing the Sampling Complexity of Topic Models (Page 891)
Regenbogen,
Sam Automated Hypothesis Generation Based on Mining Scientific Literature (Page 1877)
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Ren,
Xiang ClusCite: Effective Citation Recommendationby Information Network-Based Clustering (Page 821)
Ren,
Zhaochun Personalized Search Result Diversification via Structured Learning (Page 751)
Renz,
Matthias Representative Clustering of Uncertain Data (Page 243)
Riquelme,
Carlos Learning Multifractal Structure in Large Networks (Page 1326)
Romano,
Simone Effective Global Approaches for Mutual Information Based Feature Selection (Page 512)
Ross,
James C. Dual Beta Process Priors for Latent Cluster Discovery in Chronic Obstructive Pulmonary Disease (Page 155)
Roundy,
Kevin Guilt by Association: Large Scale Malware Detection by Mining File-relation Graphs (Page 1524)
Rozenshtein,
Polina Event Detection in Activity Networks (Page 1176)
Rüdiger,
Matthias SMVC: Semi-Supervised Multi-View Clustering in Subspace Projections (Page 253)
Rudin,
Cynthia Algorithms for Interpretable Machine Learning (Page 1519)
Box Drawings for Learning with Imbalanced Data (Page 333)
Rui,
Yong GeoMF: Joint Geographical Modeling and Matrix Factorization for Point-of-Interest Recommendation (Page 831)
Rumshisky,
Anna Unfolding Physiological State: Mortality Modelling in Intensive Care Units (Page 75)
Rundensteiner,
Elke A. Detecting Moving Object Outliers in Massive-Scale Trajectory Streams (Page 422)
Sahoo,
Doyen Online Multiple Kernel Regression (Page 293)
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Sakurai,
Yasushi FUNNEL: Automatic Mining of Spatially Coevolving Epidemics (Page 105)
Salakhutdinov,
Ruslan Deep Learning (Page 1973)
Salmento,
Joseph Reducing Gang Violence Through Network Influence Based Targeting of Social Programs (Page 1829)
Saraf,
Parang Beating the News' with EMBERS: Forecasting Civil Unrest Using Open Source Indicators (Page 1799)
Sarawagi,
Sunita Open-Domain Quantity Queries on Web Tables: Annotation, Response, and Consensus Models (Page 711)
Saul,
Lawrence K. Knock It Off: Profiling the Online Storefronts of Counterfeit Merchandise (Page 1759)
Savage,
Stefan Knock It Off: Profiling the Online Storefronts of Counterfeit Merchandise (Page 1759)
Sawada,
Hiroshi Probabilistic Latent Network Visualization: Inferring and Embedding Diffusion Networks (Page 1236)
Schadt,
Eric A Data Driven Approach to Diagnosing and Treating Disease (Page 3)
Schilling,
Nicolas Learning Time-Series Shapelets (Page 392)
Schlaikjer,
Andy Large-Scale High-Precision Topic Modeling on Twitter (Page 1907)
Schmid,
Klaus Arthur Representative Clustering of Uncertain Data (Page 243)
Schmidt-Thieme,
Lars Learning Time-Series Shapelets (Page 392)
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Schmit,
Sven Learning Multifractal Structure in Large Networks (Page 1326)
Schubert,
Erich SigniTrend: Scalable Detection of Emerging Topics in Textual Streams by Hashed Significance Thresholds (Page 871)
Seidl,
Thomas SMVC: Semi-Supervised Multi-View Clustering in Subspace Projections (Page 253)
Sekimoto,
Yoshihide Prediction of Human Emergency Behavior and Their Mobility Following Large-scale Disaster (Page 5)
Self,
Nathan Beating the News' with EMBERS: Forecasting Civil Unrest Using Open Source Indicators (Page 1799)
Modeling Mass Protest Adoption in Social Network Communities Using Geometric Brownian Motion (Page 1660)
Seljan,
Sam An Empirical Study of Reserve Price Optimisation in Real-Time Bidding (Page 1897)
Sengupta,
Bikram Predicting Student Risks Through Longitudinal Analysis (Page 1544)
Seshadhri,
C FAST-Ppr: Scaling Personalized PageRank Estimation for Large Graphs (Page 1436)
Shah,
Nigam Medicine in the Age of Electronic Health Records (Page 1518)
Shah,
Sam Modeling Impression Discounting in Large-scale Recommender Systems (Page 1837)
Shakarian,
Paulo Reducing Gang Violence Through Network Influence Based Targeting of Social Programs (Page 1829)
Shang,
Jingbo Inferring Gas Consumption and Pollution Emission of Vehicles Throughout a City (Page 1027)
Shao,
Junming Prototype-based Learning on Concept-drifting Data Streams (Page 412)
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Shen,
Chao Applying Data Mining Techniques to Address Critical Process Optimization Needs in Advanced Manufacturing (Page 1739)
Shibasaki,
Ryosuke Prediction of Human Emergency Behavior and Their Mobility Following Large-scale Disaster (Page 5)
Shivaswamy,
Pannaga Activity Ranking in LinkedIn Feed (Page 1603)
Sidiropoulos,
Nicholas D. Good-Enough Brain Model: Challenges, Algorithms and Discoveries in Multi-Subject Experiments (Page 95)
Singh,
Ajit Activity Ranking in LinkedIn Feed (Page 1603)
Singh,
Ambuj K. Towards Scalable Critical Alert Mining (Page 1057)
Sintos,
Stavros Using Strong Triadic Closure to Characterize Ties in Social Networks (Page 1466)
Sipos,
Ruben Log-based Predictive Maintenance (Page 1867)
Skiena,
Steven DeepWalk: Online Learning of Social Representations (Page 701)
Smola,
Alexander J. Efficient Mini-Batch Training for Stochastic Optimization (Page 661)
Jointly Modeling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS) (Page 193)
Reducing the Sampling Complexity of Topic Models (Page 891)
Smyth,
Padhraic Modeling Human Location Data with Mixtures of Kernel Densities (Page 35)
Somanchi,
Sriram Early Prediction of Code Blue Using Electronic Medical Records (Page 1917)
Song,
Jie Towards Scalable Critical Alert Mining (Page 1057)
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Song,
Le Scalable Diffusion-Aware Optimization of Network Topology (Page 1226)
Song,
Xuan Prediction of Human Emergency Behavior and Their Mobility Following Large-scale Disaster (Page 5)
Song,
Yangqiu Scalable Heterogeneous Translated Hashing (Page 791)
Sontag,
David Unsupervised Learning of Disease Progression Models (Page 85)
Spangler,
Scott Automated Hypothesis Generation Based on Mining Scientific Literature (Page 1877)
Spasojevic,
Nemanja LASTA: Large Scale Topic Assignment on Multiple Social Networks (Page 1809)
Srebro,
Nathan Active Collaborative Permutation Learning (Page 502)
Srikant,
Shashank A System to Grade Computer Programming Skills Using Machine Learning (Page 1887)
Srinivasan,
Aravind Beating the News' with EMBERS: Forecasting Civil Unrest Using Open Source Indicators (Page 1799)
Srinivasan,
Sriram On the Permanence of Vertices in Network Communities (Page 1396)
Srivastava,
Divesh Empirical Glitch Explanations (Page 572)
Srivastava,
Jaideep A Hazard Based Approach to User Return Time Prediction (Page 1719)
Srivatsa,
Mudhakar Analyzing Expert Behaviors in Collaborative Networks (Page 1486)
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Stankova,
Marija Corporate Residence Fraud Detection (Page 1650)
Stanoi,
Ioana Automated Hypothesis Generation Based on Mining Scientific Literature (Page 1877)
Steinhaeuser,
Karsten Improving Management of Aquatic Invasions by Integrating Shipping Network, Ecological, and Environmental Data: Data Mining for Social Good (Page 1699)
Street,
W. Nick Community Detection in Graphs through Correlation (Page 1376)
Stretz,
Paula ISIS: A Networked-Epidemiology Based Pervasive Web App for Infectious Disease Pandemic Planning and Response (Page 1847)
Strohmann,
Thomas Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion (Page 601)
Studer,
Christoph Time-Varying Learning and Content Analytics via Sparse Factor Analysis (Page 452)
Subrahmanian,
V.S. Fast Influence-based Coarsening for Large Networks (Page 1296)
Subramaniam,
Sri Frontiers in E-commerce Personalization (Page 1516)
Sudhof,
Moritz Sentiment Expression Conditioned by Affective Transitions and Social Forces (Page 1136)
Summers,
Kristen Beating the News' with EMBERS: Forecasting Civil Unrest Using Open Source Indicators (Page 1799)
Sun,
Guangzhong GeoMF: Joint Geographical Modeling and Matrix Factorization for Point-of-Interest Recommendation (Page 831)
Sun,
Huan Analyzing Expert Behaviors in Collaborative Networks (Page 1486)
Network Mining and Analysis for Social Applications (Page 1974)
Sun,
Jimeng Marble: High-Throughput Phenotyping from Electronic Health Records via Sparse Nonnegative Tensor Factorization (Page 115)
Sun,
Joy Targeting Direct Cash Transfers to the Extremely Poor (Page 1563)
Sun,
Mingxuan A Hazard Based Approach to User Return Time Prediction (Page 1719)
Sun,
Shaohua Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion (Page 601)
Sun,
Xiaoming Minimizing Seed Set Selection with Probabilistic Coverage Guarantee in a Social Network (Page 1306)
Sun,
Yizhou Topic-Factorized Ideal Point Estimation Model for Legislative Voting Network (Page 183)
Sundaresan,
Neel Large Scale Visual Recommendations from Street Fashion Images (Page 1925)
Syed,
Zeeshan Scalable Noise Mining in Long-Term Electrocardiographic Time-Series to Predict Death Following Heart Attacks (Page 125)
Szolovits,
Peter Unfolding Physiological State: Mortality Modelling in Intensive Care Units (Page 75)
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