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» A generative pattern model for mining binary datasets
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KDD
2010
ACM
326views Data Mining» more  KDD 2010»
14 years 7 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
PAKDD
2010
ACM
189views Data Mining» more  PAKDD 2010»
15 years 2 months ago
Subsequence Matching of Stream Synopses under the Time Warping Distance
In this paper, we propose a method for online subsequence matching between histogram-based stream synopsis structures under the dynamic warping distance. Given a query synopsis pat...
Su-Chen Lin, Mi-Yen Yeh, Ming-Syan Chen
ICDM
2010
IEEE
158views Data Mining» more  ICDM 2010»
14 years 7 months ago
Patterns on the Connected Components of Terabyte-Scale Graphs
How do connected components evolve? What are the regularities that govern the dynamic growth process and the static snapshot of the connected components? In this work, we study pat...
U. Kang, Mary McGlohon, Leman Akoglu, Christos Fal...
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BMCBI
2008
121views more  BMCBI 2008»
14 years 9 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
ESANN
2007
14 years 11 months ago
Collaborative Filtering with interlaced Generalized Linear Models
Collaborative Filtering (CF) aims at finding patterns in a sparse matrix of contingency. It can be used for example to mine the ratings given by users on a set of items. In this p...
Nicolas Delannay, Michel Verleysen