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SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
15 years 6 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee
ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
15 years 2 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
13 years 7 months ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...
KDD
2004
ACM
162views Data Mining» more  KDD 2004»
16 years 5 months ago
Discovering Links Between Lexical and Surface Features in Questions and Answers
Information retrieval systems, based on keyword match, are evolving to question answering systems that return short passages or direct answers to questions, rather than URLs point...
Soumen Chakrabarti
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 11 months ago
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...