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» Clustering by pattern similarity in large data sets
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ICDM
2006
IEEE
118views Data Mining» more  ICDM 2006»
14 years 1 months ago
Reducing the Frequent Pattern Set
One of the major problems in frequent pattern mining is the explosion of the number of results, making it difficult to identify the interesting frequent patterns. In a recent pap...
Ronnie Bathoorn, Arne Koopman, Arno Siebes
SDM
2003
SIAM
183views Data Mining» more  SDM 2003»
13 years 9 months ago
ApproxMAP: Approximate Mining of Consensus Sequential Patterns
Conventional sequential pattern mining methods may meet inherent difficulties in mining databases with long sequences and noise. They may generate a huge number of short and trivi...
Hye-Chung Kum, Jian Pei, Wei Wang 0010, Dean Dunca...
VL
1996
IEEE
157views Visual Languages» more  VL 1996»
13 years 11 months ago
Visualizing Program Executions on Large Data Sets
Understanding and interpreting a large data source is an important but challenging operation in many technical disciplines. Computer visualization has become a valuable tool to he...
John T. Stasko, Jeyakumar Muthukumarasamy
TSP
2008
167views more  TSP 2008»
13 years 6 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
PAMI
2011
13 years 2 months ago
Parallel Spectral Clustering in Distributed Systems
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen ...