Database summarization using fuzzy ISA hierarchies
- 1 February 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
- Vol. 27 (1) , 68-78
- https://doi.org/10.1109/3477.552186
Abstract
Summary discovery is one of the major components of knowledge discovery in databases, which provides the user with comprehensive information for grasping the essence from a large amount of information in a database. We propose an interactive top down summary discovery process which utilizes fuzzy ISA hierarchies as domain knowledge. We define a generalized tuple as a representational form of a database summary including fuzzy concepts. By virtue of fuzzy ISA hierarchies where fuzzy ISA relationships common in actual domains are naturally expressed, the discovery process comes up with more accurate database summaries. We also present an informativeness measure for distinguishing generalized tuples that delivers much information to users, based on C. Shannon's (1948) information theory.Keywords
This publication has 6 references indexed in Scilit:
- An approach to the linguistic summarization of dataPublished by Springer Nature ,2005
- Accommodating subjective vagueness through a fuzzy extension to the relational data modelInformation Systems, 1993
- Fuzzy Set Theory — and Its ApplicationsPublished by Springer Nature ,1985
- A Fuzzy-Set-Theoretic Interpretation of Linguistic HedgesJournal of Cybernetics, 1972
- Fuzzy setsInformation and Control, 1965
- A Mathematical Theory of CommunicationBell System Technical Journal, 1948