DocumentCode
3122686
Title
Fuzzy data analysis: challenges and perspectives
Author
Kruse, Rudolf ; Borgelt, Christian ; Nauck, Detlef
Author_Institution
Dept. of Knowledge Process. & Language Eng., Otto-von-Guericke-Univ. of Magdeburg, Germany
Volume
3
fYear
1999
fDate
22-25 Aug. 1999
Firstpage
1211
Abstract
In meeting the challenges that resulted from the explosion of collected, stored, and transferred data, knowledge discovery in databases or data mining has emerged as a new research area. However, the approaches studied in this area have mainly been oriented at highly structured and precise data. In addition, the goal to obtain understandable results is often neglected. Therefore we suggest to concentrate on information mining, i.e., the analysis of heterogeneous information sources with the prominent aim of producing comprehensible results. Since the aim of fuzzy technology has always been to model linguistic information and to achieve understandable solutions, we expect it to play an important role in information mining.
Keywords
data analysis; data mining; fuzzy set theory; data mining; databases; fuzzy data analysis; heterogeneous information sources; information mining; knowledge discovery; Costs; Data analysis; Data engineering; Data mining; Databases; Explosions; Humans; Information technology; Knowledge engineering; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location
Seoul, South Korea
ISSN
1098-7584
Print_ISBN
0-7803-5406-0
Type
conf
DOI
10.1109/FUZZY.1999.790074
Filename
790074
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