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» Data Clustering: A Review
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111
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ESEM
2007
ACM
15 years 4 months ago
Automated Information Extraction from Empirical Software Engineering Literature: Is that possible?
The number of scientific publications is constantly increasing, and the results published on Empirical Software Engineering are growing even faster. Some software engineering publ...
Daniela Cruzes, Victor R. Basili, Forrest Shull, M...
IEEECIT
2009
IEEE
15 years 7 months ago
Web Forum Sentiment Analysis Based on Topics
As web forum has become an enormous collection of highly valuable opinions and commentaries, more and more researchers express strong interests on it. However, most of them pay at...
Lei Shi, Bai Sun, Liang Kong, Yan Zhang
89
Voted
ICDM
2002
IEEE
106views Data Mining» more  ICDM 2002»
15 years 5 months ago
Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods
Proceedings of IEEE Data Mining, IEEE Press, pp. 581-584, 2002. We describe an interactive way to generate a set of clusters for a given data set. The clustering is done by constr...
Michael R. Berthold, Bernd Wiswedel, David E. Patt...
127
Voted
CLUSTER
2009
IEEE
14 years 10 months ago
MITHRA: Multiple data independent tasks on a heterogeneous resource architecture
With the advent of high-performance COTS clusters, there is a need for a simple, scalable and faulttolerant parallel programming and execution paradigm. In this paper, we show that...
Reza Farivar, Abhishek Verma, Ellick Chan, Roy H. ...
103
Voted
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
16 years 1 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...