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» Categorization using semi-supervised clustering
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COMAD
2009
13 years 8 months ago
Categorizing Concepts for Detecting Drifts in Stream
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
Sharanjit Kaur, Vasudha Bhatnagar, Sameep Mehta, S...
IPM
2007
106views more  IPM 2007»
13 years 7 months ago
Patent document categorization based on semantic structural information
The number of patent documents is currently rising rapidly worldwide, creating the need for an automatic categorization system to replace time-consuming and labor-intensive manual...
Jae-Ho Kim, Key-Sun Choi
CSDA
2010
194views more  CSDA 2010»
13 years 7 months ago
A clipped latent variable model for spatially correlated ordered categorical data
We propose a model for a point-referenced spatially correlated ordered categorical response and methodology for estimation of model parameters. Models and methods for spatially co...
Megan Dailey Higgs, Jennifer A. Hoeting
ECAL
1999
Springer
13 years 12 months ago
Modeling Categorization Dynamics through Conversation by Constructive Approach
Categorization dynamics as the clustering of words in word relation is studied by a constructive approach which is suited to inquire evolutionary linguistics with dynamical view on...
Takashi Hashimoto
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
14 years 27 days ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...