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ICDE
1999
IEEE
183views Database» more  ICDE 1999»
14 years 11 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
SDM
2009
SIAM
105views Data Mining» more  SDM 2009»
14 years 6 months ago
Exploiting Semantic Constraints for Estimating Supersenses with CRFs.
The annotation of words and phrases by ontology concepts is extremely helpful for semantic interpretation. However many ontologies, e.g. WordNet, are too fine-grained and even hu...
Gerhard Paaß, Frank Reichartz
CIKM
2009
Springer
14 years 4 months ago
Exploring relevance for clicks
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
Rongwei Cen, Yiqun Liu, Min Zhang, Bo Zhou, Liyun ...
LCPC
2005
Springer
14 years 3 months ago
Code Transformations for One-Pass Analysis
With the growing popularity of streaming data model, processing queries over streaming data has become an important topic. Streaming data has received attention in a number of comm...
Xiaogang Li, Gagan Agrawal
APBC
2004
164views Bioinformatics» more  APBC 2004»
13 years 11 months ago
Cluster Ensemble and Its Applications in Gene Expression Analysis
Huge amount of gene expression data have been generated as a result of the human genomic project. Clustering has been used extensively in mining these gene expression data to find...
Xiaohua Hu, Illhoi Yoo
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