20. KDD 2014: New York City, USA

Keynote talks

Research session 1: location-based services

Research session 2: applications to healthcare and medicine I

Research session 3: applications to healthcare and medicine II

Research session 4: recommender systems

Research session 5: clustering

Research session 6: supervised learning I

Research session 7: supervised learning II

Research session 8: trend, anomaly and novelty detection

Research session 9: data streams

Research session 10: active learning

Research session 11: feature selection

Research session 12: statistical techniques for big data

Research session 13: scaling-up methods for big data

Research session 14: large-scale optimization and learning

Research session 15: web mining

Research session 16: transfer learning

Research session 17: recommendations and ratings

Research session 18: topic modeling

Research session 19: security and privacy

Research session 20: dimensionality reduction

Research session 21: novel applications

Research session 22: crowds and markets

Research session 23: text mining

Research session 24: dynamic graph analysis

Research session 25: diffusion in social and information networks

Research session 26: social and information networks

Research session 27: graph mining and modeling

Research session 28: network community detection

Research session 29: scaling-up graph algorithms