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» Mining Frequent Itemsets Using Re-Usable Data Structure
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SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
14 years 6 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...
BMCBI
2006
95views more  BMCBI 2006»
13 years 8 months ago
A quantitative analysis of secondary RNA structure using domination based parameters on trees
Background: It has become increasingly apparent that a comprehensive database of RNA motifs is essential in order to achieve new goals in genomic and proteomic research. Secondary...
Teresa W. Haynes, Debra J. Knisley, Edith Seier, Y...
KBS
2007
101views more  KBS 2007»
13 years 8 months ago
A Knowledge Base for the maintenance of knowledge extracted from web data
By applying web mining tools, significant patterns about the visitor behavior can be extracted from data originated in web sites. Supported by a domain expert, the patterns are v...
Juan D. Velásquez, Vasile Palade
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 10 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis
ASUNAM
2011
IEEE
12 years 8 months ago
Predicting Network Response Times Using Social Information
—Social networks and discussion boards have become a significant outlet where people communicate and express their opinion freely. Although the social networks themselves are us...
Chen Liang, Sharath Hiremagalore, Angelos Stavrou,...