Uncertainty and vagueness in knowledge based systems
Uncertainty and vagueness in knowledge based systems
Measures of uncertainty in expert systems
Artificial Intelligence
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Database Mining: A Performance Perspective
IEEE Transactions on Knowledge and Data Engineering
On Modeling Data Mining with Granular Computing
COMPSAC '01 Proceedings of the 25th International Computer Software and Applications Conference on Invigorating Software Development
In Pursuit of Patterns in Data Reasoning from Data The Rough Set Way
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Induction of Classification Rules by Granular Computing
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Generalized Decision Algorithms, Rough Inference Rules, and Flow Graphs
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Interpretations of Association Rules by Granular Computing
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Mining Ontology for Automatically Acquiring Web User Information Needs
IEEE Transactions on Knowledge and Data Engineering
Granule Oriented Data Warehouse Model
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Ontology based web mining for information gathering
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
International Journal of Intelligent Information and Database Systems
Web data mining and reasoning model
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
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In this paper, we discuss the problem of knowledge discovery in information systems. A model is presented for users to obtain either "objective" interesting rules or "subjective" judgments of meaningful descriptions based on their needs. Extended random sets are presented firstly to describe the relationships between condition granules and decision granules. The interpretation is then given to show what we can obtain from the extended random sets.