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» Methods for finding frequent items in data streams
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BMCBI
2007
132views more  BMCBI 2007»
13 years 7 months ago
Dependence of paracentric inversion rate on tract length
Background: We develop a Bayesian method based on MCMC for estimating the relative rates of pericentric and paracentric inversions from marker data from two species. The method al...
Thomas L. York, Richard Durrett, Rasmus Nielsen
ICWE
2004
Springer
14 years 1 months ago
Automatic Interpretation of Natural Language for a Multimedia E-learning Tool
Abstract. This paper describes the new e-learning tool CHESt that allows students to search in a knowledge base for short (teaching) multimedia clips by using a semantic search eng...
Serge Linckels, Christoph Meinel
SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
13 years 9 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 8 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos
SOFTWARE
2002
13 years 7 months ago
Modeling with a Sense of Purpose
is the level of abstraction: a logical model ignores the constraints that the underlying database technology imposes and presents a simplified view. Sometimes physical database des...
John Daniels