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» A Meta-search Method with Clustering and Term Correlation
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SIGIR
2004
ACM
14 years 10 days ago
Learning to cluster web search results
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
Hua-Jun Zeng, Qi-Cai He, Zheng Chen, Wei-Ying Ma, ...
APBC
2004
132views Bioinformatics» more  APBC 2004»
13 years 8 months ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov
CIKM
2005
Springer
14 years 14 days ago
Semantic similarity over the gene ontology: family correlation and selecting disjunctive ancestors
Many bioinformatics applications would benefit from comparing proteins based on their biological role rather than their sequence. In most biological databases, proteins are alrea...
Francisco M. Couto, Mário J. Silva, Pedro C...
ICDE
2010
IEEE
222views Database» more  ICDE 2010»
13 years 5 months ago
Finding Clusters in subspaces of very large, multi-dimensional datasets
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
Robson Leonardo Ferreira Cordeiro, Agma J. M. Trai...
KDD
2007
ACM
176views Data Mining» more  KDD 2007»
14 years 7 months ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...