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» Phenomenal Data Mining: From Data to Phenomena
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KDD
2009
ACM
142views Data Mining» more  KDD 2009»
16 years 7 months ago
Quantification and semi-supervised classification methods for handling changes in class distribution
In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
Jack Chongjie Xue, Gary M. Weiss
APSEC
2006
IEEE
16 years 25 days ago
Project Replayer with Email Analysis - Revealing Contexts in Software Development
In many software development projects, people tend to repeat same mistakes due to lack of shared knowledge from past experiences. Generally, it is very difficult to manually find ...
Kimiharu Okura, Keita Goto, Noriko Hanakawa, Shinj...
KDD
2005
ACM
112views Data Mining» more  KDD 2005»
16 years 7 months ago
Model-based overlapping clustering
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh,...
ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
16 years 24 days ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
16 years 24 days ago
Automatic Construction of N-ary Tree Based Taxonomies
Hierarchies are an intuitive and effective organization paradigm for data. Of late there has been considerable research on automatically learning hierarchical organizations of dat...
Kunal Punera, Suju Rajan, Joydeep Ghosh