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» Mining discriminative items in multiple data streams
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KDD
2005
ACM
151views Data Mining» more  KDD 2005»
15 years 10 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
14 years 8 months ago
Entropy and Margin Maximization for Structured Output Learning
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 10 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
ICPADS
2008
IEEE
15 years 4 months ago
Integrating Sensor Streams in pHealth Networks
Personal Health (pHealth) sensor networks are generally used to monitor the wellbeing of both athletes and the general public to inform health specialists of future and often seri...
Mark Roantree, Dónall McCann, Niall Moyna
62
Voted
ICML
2009
IEEE
15 years 10 months ago
Multi-assignment clustering for Boolean data
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
Andreas P. Streich, Mario Frank, David A. Basin, J...