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152
Voted
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 3 months ago
An association analysis approach to biclustering
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...
138
Voted
ICCS
2003
Springer
15 years 8 months ago
A Compress-Based Association Mining Algorithm for Large Dataset
The association mining is one of the primary sub-areas in the field of data mining. This technique had been used in numerous practical applications, including consumer market baske...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
122
Voted
KDD
2002
ACM
125views Data Mining» more  KDD 2002»
16 years 3 months ago
Pattern discovery in sequences under a Markov assumption
In this paper we investigate the general problem of discovering recurrent patterns that are embedded in categorical sequences. An important real-world problem of this nature is mo...
Darya Chudova, Padhraic Smyth
KDD
2002
ACM
145views Data Mining» more  KDD 2002»
16 years 3 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
ICDE
2006
IEEE
167views Database» more  ICDE 2006»
16 years 4 months ago
Mining Shifting-and-Scaling Co-Regulation Patterns on Gene Expression Profiles
In this paper, we propose a new model for coherent clustering of gene expression data called reg-cluster. The proposed model allows (1) the expression profiles of genes in a clust...
Xin Xu, Ying Lu, Anthony K. H. Tung, Wei Wang 0010