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BIBM
2007
IEEE
137views Bioinformatics» more  BIBM 2007»
13 years 11 months ago
A Multi-metric Similarity Based Analysis of Microarray Data
Clustering has been shown to be effective in analyzing functional relationships of genes. However, no single clustering method with single distance metric is capable of capturing ...
Fatih Altiparmak, Selnur Erdal, Ozgur Ozturk, Haka...
RSFDGRC
2005
Springer
151views Data Mining» more  RSFDGRC 2005»
13 years 10 months ago
DIXER - Distributed Executor for Rough Set Exploration System
We present the Distributed Executor for RSES (DIXER) which is a supplementary software for the Rough Set Exploration System (RSES). It takes an advantage of grid computing paradigm...
Jan G. Bazan, Rafal Latkowski, Marcin S. Szczuka
DAWAK
2006
Springer
13 years 9 months ago
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciec...
RSEISP
2007
Springer
13 years 11 months ago
Checking Brain Expertise Using Rough Set Theory
Most information about the external world comes from our visual brain. However, it is not clear how this information is processed. We will analyze brain responses using machine lea...
Andrzej W. Przybyszewski
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
13 years 10 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson