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
Link To Document :
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