Sciweavers

787 search results - page 12 / 158
» Using Rough Sets as Tools for Knowledge Discovery
Sort
View
FUZZIEEE
2007
IEEE
15 years 4 months ago
Tolerance-based and Fuzzy-Rough Feature Selection
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
Richard Jensen, Qiang Shen
GRC
2005
IEEE
15 years 3 months ago
Visualization of protein-protein interaction network for knowledge discovery
A new visualization tool, called "Visual Concept Explorer (VCE)", was developed to visualize concept relationships in bio-medical literatura VCE integrates Pathfinder Net...
Weizhong Zhu, Xia Lin, Xiaohua Hu, Bahrad A. Sokha...
RAID
1999
Springer
15 years 2 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo
AMC
2008
87views more  AMC 2008»
14 years 10 months ago
Mining classification rules with Reduced MEPAR-miner Algorithm
In this study, a new classification technique based on rough set theory and MEPAR-miner algorithm for association rule mining is introduced. Proposed method is called as `Reduced ...
Emel Kizilkaya Aydogan, Cevriye Gencer
SOFSEM
2001
Springer
15 years 2 months ago
How Can Computer Science Contribute to Knowledge Discovery?
Knowledge discovery, that is, to analyze a given massive data set and derive or discover some knowledge from it, has been becoming a quite important subject in several fields incl...
Osamu Watanabe