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Author Ozawa, J. ♦ Yamada, K.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1995
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Databases ♦ Information retrieval ♦ Data engineering ♦ Knowledge engineering ♦ Poles and towers ♦ Fuzzy sets ♦ Machine learning
Abstract This paper proposes an approach to discover global knowledge from a large number of data in a database. In this approach, linguistic labels are defined by fuzzy sets, and they are regarded as predefined background knowledge to discover global knowledge. Using the linguistic labels of the background knowledge, the given data are classified into several subclasses. Recursive classification of the process constructs a hierarchy of classes. However, in a database there are some exceptional data that are difficult to be classified into the classes. Therefore, we have introduced exceptional classes, and the exceptional data are grouped into them. Using this technique, we have constructed an intelligent data retrieval system that provides the user with cooperative answers. When too many data are retrieved, our system provides the user with a linguistic answer that summarizes the retrieved data. When no data is retrieved, our system provides the user with a linguistic summary of what kinds of data are stored in the database.<<ETX>>
Description Author affiliation: Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan (Ozawa, J.)
ISBN 0780324617
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1995-03-20
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 493.50 kB
Page Count 6
Starting Page 849
Ending Page 854

Source: IEEE Xplore Digital Library