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» Data Clustering: A Review
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ESEM
2007
ACM
13 years 11 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
14 years 2 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
ICDM
2002
IEEE
106views Data Mining» more  ICDM 2002»
14 years 18 days 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...
CLUSTER
2009
IEEE
13 years 5 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. ...
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
14 years 8 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,...