KDD2017 video

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KDD 2017 is the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining, one of the world’s largest and best Data Science conferences. Started in 1989,...

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AB Testing in Networks with Adversarial Members

Learning to Make Stuff

Cultural Creativity

Stacked Ensemble Models and Data Science Competitions

Managing Research Team Panel

Mentoring Session Panel

Profit Maximization for Online Advertising Demand-Side Platform

MM2RTB Bring Multimedia Metrics to Real-Time Bidding

Ranking and Calibrating Click-Attributed Purchases in Performance Display Advertising

Machine Learning and Causal Inference for Advertising Effectiveness

Deep & Cross Network for Ad Click Predictions

Blacklisting the Blacklist in Online Advertising

Attribution Modeling Increases Efficiency of Bidding in Display Advertising

Data-Driven Reserve Prices for Social Advertising Auctions at LinkedIn

Incrementality Bidding & Attribution

Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions

Optimal Reserve Price for Online Ads Trading Based on Inventory Identification

Learning from Logged Interventions

An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy

A Hybrid Approach for Sentiment Analysis Applied to Paper

Deep Learning for Contrasting Meaning Representation and Composition

Viscovery A Platform for Trend Tracking in Opinion Forums

Creating Domain-Specific Sentiment Lexicons via Text Mining

Barycentric coordinates for ordinal sentiment classification

From Bioinformatics to Precision Medicine

Cost-sensitive Deep Learning for Early Readmission Prediction at A Major Hospital

Improving the Prediction of Functional Outcome in Ischemic Stroke Patients

Ontology-based workflow extraction from texts using word sense disambiguation

Coordination Event Detection and Initiator Identification in Time Series Data

Robust Parameter-Free Season Length Detection in Time Series