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SDM
2009
SIAM
251views Data Mining» more  SDM 2009»
15 years 7 months ago
High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
15 years 7 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
15 years 7 months ago
Multi-topic Based Query-Oriented Summarization.
Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. It is very useful to help users grasp the main information rel...
Dewei Chen, Jie Tang, Limin Yao
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
15 years 7 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
15 years 7 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
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