18. KDD 2012: Beijing, China

Keynote addresses

Research session a1: page rank and social networks

Research session a2: pattern mining

Research session a3: probabilistic models

Research session a4: supervised learning

Industry/govt track a5: mobile computing

Asia-Pacific track a6: session 1

Research session b1: social opinions

Research session b2: time series

Research session b3: matrices and tensors

Research session b4: unsupervised learning

Industry/govt track b5: social network analysis

Industrial practice expo b6: session 1

Research session c1: social and web mining applications

Research session c2: event mining

Research session c3: matrix approximation

Research session c4: supervised learning with multivariate data

Industry/govt track c5: web applications

Industrial practice expo c6: session 2

Research session a1: community mining

Research session a2: sequential and spatio-temporal patterns

Research session a3: personalization and recommendation

Research session a4: supervised learning with auxilliary information

Industry/govt track a5: computational advertising

Asia-Pacific track a6: session 2

Research session b1: review, discussion, and q & a

Research session b2: outlier and intrusion detection

Research session b3: feature selection

Research session b4: nearest neighbors

Industry/govt track b5: business intelligence

Industrial practice expo B6: session 3

Research session c1: team, trends, and social profiling

Research session c2: privacy

Research session c3: supervised learning applications

Research session c4: information extraction

Industry/govt track c5: medical informatics

Industrial practice expo c6: session 4