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PKDD
2009
Springer
103views Data Mining» more  PKDD 2009»
16 years 28 days ago
Kernels for Periodic Time Series Arising in Astronomy
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
PKDD
2007
Springer
95views Data Mining» more  PKDD 2007»
16 years 15 days ago
Pruning Relations for Substructure Discovery of Multi-relational Databases
Multirelational data mining methods discover patterns across multiple interlinked tables (relations) in a relational database. In many large organizations, such a multi-relational ...
Hongyu Guo, Herna L. Viktor, Eric Paquet
ICDM
2010
IEEE
202views Data Mining» more  ICDM 2010»
15 years 4 months ago
Discovering Overlapping Groups in Social Media
Abstract--The increasing popularity of social media is shortening the distance between people. Social activities, e.g., tagging in Flickr, bookmarking in Delicious, twittering in T...
Xufei Wang, Lei Tang, Huiji Gao, Huan Liu
WWW
2009
ACM
16 years 7 months ago
Rated aspect summarization of short comments
Web 2.0 technologies have enabled more and more people to freely comment on different kinds of entities (e.g. sellers, products, services). The large scale of information poses th...
Yue Lu, ChengXiang Zhai, Neel Sundaresan
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
15 years 4 months ago
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mik...