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Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining +
Prominent Streak Discovery in Sequence Data +
Protecting Location Privacy Using Location Semantics +
Query Based Learning in Multi-Agent Systems +
Randomized Algorithms for Matrices and Data +
Rank Aggregation via Nuclear Norm Minimization +
Rank and Relevance in Novelty and Diversity Metrics for Recommender Systems +
Ranking-based Classification of Heterogeneous Information Networks +
Real-time Bidding Algorithms for Performance-based Display Ad Allocation +
Real-time Risk Control System for CNP (card Not Present) +
Reasoning with Text Annotations +
Recognizing Named Entities in Tweets +
Refining Causality: Who Copied from Whom? +
Representing and Reasoning with Qualitative Preferences for Compositional Systems +
Response Prediction Using Collaborative Filtering with Hierarchies and Side-information +
Revisiting Sequential Pattern Hiding to Enhance Utility +
SIGKDD Demo: Sensors and Software to Allow Computational Entomology, An Emerging Application of Data Mining +
SLIM: Sparse Linear Methods for Top-N Recommender Systems +
Sampling Hidden Objects Using Nearest-neighbor Oracles +
Sapiens: A Brief History of Humankind +
Scalable Distributed Inference of Dynamic User Interests for Behavioral Targeting +
Scalable KNN Search on Vertically Stored Time Series +
Schema Matching and Mapping +
SeMap - Mapping Dependency Relationships Into Semantic Frame Relationships +
Selecting a Comprehensive Set of Reviews +
Selective Block Minimization for Faster Convergence of Limited Memory Large-scale Linear Models +
Semantic Annotations and Retrieval: Manual, Semiautomatic, and Automatic Generation +
Semantic Information Filtering - Beyond Collaborative Filtering +
Semi-supervised Ranking on Very Large Graphs with Rich Metadata +
Semi-supervised Recursive Autoencoders for Predicting Sentiment Distributions +
Serendipitous Learning: Learning Beyond the Predefined Label Space +
Smoothing Techniques for Adaptive Online Language Models: Topic Tracking in Tweet Streams +
Social Flocks: A Crowd Simulation Framework for Social Network Generation, Community Detection, and Collective Behavior Modeling +
Sparsification of Influence Networks +
Spatially Regularized Logistic Regression for Disease Mapping on Large Moving Populations +
Stackelberg Games for Adversarial Prediction Problems +
Strategies for Training Large Scale Neural Network Language Models +
Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance? +
Supervised Learning for Provenance-similarity of Binaries +
SystemML: Declarative Machine Learning on MapReduce +
Tell Me What I Need to Know: Succinctly Summarizing Data with Itemsets +
Temporal Multi-hierarchy Smoothing for Estimating Rates of Rare Events +
ISO-Space: The Annotation of Spatial Information in Language +
The Application of Data Mining Techniques in Financial Fraud Detection: A Classification Framework and An Academic Review of Literature +
The Beginning of Infinity +
The Belief Instinct: The Psychology of Souls, Destiny, and the Meaning of Life +
The Better Angels of Our Nature: Why Violence Has Declined +
The Biomedical Discourse Relation Bank +
The Gene Normalization Task in BioCreative III +
The Making of Prince of Persia: Journals 1985-1993 +
The Mathematics of Causal Inference +
The Power of Analysis and Data +
The Practitioner's Viewpoint to Data Mining: Key Lessons Learned in the Trenches and Case Studies +
The Second Economy +
The Social Animal: A Story of How Success Happens +
The Special Issue of AI Magazine on Structured Knowledge Transfer +
The Town with No Poverty: The Health Effects of a Canadian Guaranteed Annual Income Field Experiment +
The Winograd Schema Challenge. +
ThermoCast: A Cyber-physical Forecasting Model for Datacenters +
ThermoCast: A Cyber-physical Forecasting Model for Datacenters +
Thinking, Fast and Slow +
Thriving As a Data Miner in the Real World +
Topic-level Social Network Search +
Toward Personalized Care Management of Patients at Risk: The Diabetes Case Study +
Towards Bounding Sequential Patterns +
Tracking Trends: Incorporating Term Volume Into Temporal Topic Models +
Trading Representability for Scalability: Adaptive Multi-hyperplane Machine for Nonlinear Classification +
Triangle Listing in Massive Networks and Its Applications +
Two-locus Association Mapping in Subquadratic Time +
Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms +
Unbiased Online Active Learning in Data Streams +
Underemployment: Psychological, Economic, and Social Challenges +
Understanding Atrophy Trajectories in Alzheimer's Disease Using Association Rules on MRI Images +
Understanding Network Failures in Data Centers: Measurement, Analysis, and Implications +
Unsupervised Clustering of Multidimensional Distributions Using Earth Mover Distance +
User-click Modeling for Understanding and Predicting Search-behavior +
User-level Sentiment Analysis Incorporating Social Networks +
User Reputation in a Comment Rating Environment +
Video Analytics Solution for Tracking Customer Locations in Retail Shopping Malls +
Web Information Extraction Using Markov Logic Networks +
Weighted Vote-Based Classifier Ensemble for Named Entity Recognition: A Genetic Algorithm-Based Approach +
Which Half Is Wasted?: Controlled Experiments to Measure Online-advertising Effectiveness +
A Beam-search Decoder for Grammatical Error Correction +
ADADELTA: An Adaptive Learning Rate Method +
A Few Useful Things to Know About Machine Learning +
A Framework for Robust Discovery of Entity Synonyms +
A Framework for Summarizing and Analyzing Twitter Feeds +
A Graph-based Approach for Ontology Population with Named Entities +
A Modular Ontology of Data Mining: Doctoral Dissertation +
A Near-linear Time Approximation Algorithm for Angle-based Outlier Detection in High-dimensional Data +
A New Challenge of Information Processing under the 21st Century +
A Probabilistic Model for Multimodal Hash Function Learning +
A Ranking Framework for Entity Oriented Search Using Markov Random Fields +
A Robust Realtime Reading-skimming Classifier +
A Semi-supervised Approach to Extracting Multiword Entity Names from User Reviews +
A Sequential Recommendation Approach for Interactive Personalized Story Generation +
A Shapelet Transform for Time Series Classification +
A Short Introduction to Probabilistic Soft Logic +
A Simple Methodology for Soft Cost-sensitive Classification +