Sciweavers

63 search results - page 9 / 13
» Rough Sets in Spatio-temporal Data Mining
Sort
View
KAIS
2000
86views more  KAIS 2000»
13 years 7 months ago
A Mathematical Foundation for Improved Reduct Generation in Information Systems
When data sets are analyzed, statistical pattern recognition is often used to find the information hidden in the data. Another approach to information discovery is data mining. Dat...
Janusz A. Starzyk, Dale E. Nelson, Kirk Sturtz
RSCTC
2010
Springer
173views Fuzzy Logic» more  RSCTC 2010»
13 years 5 months ago
RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment
RSCTC’2010 Discovery Challenge was a special event of Rough Sets and Current Trends in Computing conference. The challenge was organized in the form of an interactive on-line com...
Marcin Wojnarski, Andrzej Janusz, Hung Son Nguyen,...
RSCTC
2004
Springer
237views Fuzzy Logic» more  RSCTC 2004»
14 years 24 days ago
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts
Abstract. We introduce an automated multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We uti...
Sebastian Widz, Kenneth Revett, Dominik Slezak
ADVIS
2004
Springer
14 years 26 days ago
Multiple Sets of Rules for Text Categorization
An important issue in text mining is how to make use of multiple pieces knowledge discovered to improve future decisions. In this paper, we propose a new approach to combining mult...
Yaxin Bi, Terry J. Anderson, Sally I. McClean
RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
14 years 28 days ago
Feature Selection with Adjustable Criteria
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
Jingtao Yao, Ming Zhang