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Table of Contents

Author Index

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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)