From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Rough set methods and applications: new developments in knowledge discovery in information systems
Rough set methods and applications: new developments in knowledge discovery in information systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Data Mining and Knowledge Discovery: Making Sense Out of Data
IEEE Expert: Intelligent Systems and Their Applications
Knowledge Discovery from Decision Tables by the Use of Multiple-Valued Logic
Artificial Intelligence Review
Finding Reducts in Composed Information Systems
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Knowledge reduction in random information systems via Dempster-Shafer theory of evidence
Information Sciences: an International Journal
Guest editorial: Recent advancements of fuzzy sets: Theory and practice
Information Sciences: an International Journal
A novel statistical method on decision table analysis
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Set-valued information systems
Information Sciences: an International Journal
Knowledge-intensive genetic discovery in foreign exchange markets
IEEE Transactions on Evolutionary Computation
Evolutionary computing for knowledge discovery in medical diagnosis
Artificial Intelligence in Medicine
Approaches to knowledge reduction of covering decision systems based on information theory
Information Sciences: an International Journal
A model of user-oriented reduct construction for machine learning
Transactions on rough sets VIII
Research on rough set theory and applications in China
Transactions on rough sets VIII
Information Sciences: an International Journal
Nullity-based matroid of rough sets and its application to attribute reduction
Information Sciences: an International Journal
Reductions and Saturation Reductions of (Abstract) Knowledge Bases
Electronic Notes in Theoretical Computer Science (ENTCS)
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One of the key problems of knowledge discovery is knowledge reduction. This paper proposes a new method for knowledge reduction in information systems. First, two families of closed sets C"r and C"R are defined, where r and R are equivalence relations defined on the attribute set and its power set, respectively. The properties of C"r and C"R are also discussed. The necessary and sufficient condition for C"r=C"R is then given and employed to construct an approach to attribute reduction in information systems. It is also proved that under the condition C"r=C"R, the proposed approach to knowledge reduction is equivalent to the well-accepted one in reference [W.X. Zhang, Y. Leung, W.Z. Wu, Information Systems and Knowledge Discovery, Science Publishing Company, Beijing, 2003].