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RCIS
2010
13 years 5 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 7 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
ICDE
2004
IEEE
133views Database» more  ICDE 2004»
14 years 8 months ago
GenExplore: Interactive Exploration of Gene Interactions from Microarray Data
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Yong Ye, Xintao Wu, Kalpathi R. Subramanian, Liyin...
CIKM
2005
Springer
14 years 26 days ago
Concept-based interactive query expansion
Despite the recent advances in search quality, the fast increase in the size of the Web collection has introduced new challenges for Web ranking algorithms. In fact, there are sti...
Bruno M. Fonseca, Paulo Braz Golgher, Bruno P&ocir...
BMCBI
2010
141views more  BMCBI 2010»
13 years 7 months ago
CIG-DB: the database for human or mouse immunoglobulin and T cell receptor genes available for cancer studies
Background: Immunoglobulin (IG or antibody) and the T-cell receptor (TR) are pivotal proteins in the immune system of higher organisms. In cancer immunotherapy, the immune respons...
Yoji Nakamura, Tomoyoshi Komiyama, Motoki Furue, T...