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ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
14 years 9 months ago
Evolving Ensemble-Clustering to a Feedback-Driven Process
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
Martin Hahmann, Dirk Habich, Wolfgang Lehner
ICDM
2009
IEEE
184views Data Mining» more  ICDM 2009»
14 years 9 months ago
Improved Multi Label Classification in Hierarchical Taxonomies
Hierarchical taxonomies are used to organize and retrieve information in many domains, especially those dealing with large and rapidly growing amounts of information. In many of t...
Kunal Punera, Suju Rajan
TIME
2008
IEEE
15 years 6 months ago
Time Aware Mining of Itemsets
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
Bashar Saleh, Florent Masseglia
IMSCCS
2006
IEEE
15 years 5 months ago
Clustering of Gene Expression Data: Performance and Similarity Analysis
Background: DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expre...
Longde Yin, Chun-Hsi Huang
ESEM
2007
ACM
15 years 1 months ago
Mining Software Evolution to Predict Refactoring
Can we predict locations of future refactoring based on the development history? In an empirical study of open source projects we found that attributes of software evolution data ...
Jacek Ratzinger, Thomas Sigmund, Peter Vorburger, ...