Problems and Prospects in Fuzzy Data Analysis
Author(s) -
Rudolf Kruse,
Christian Borgelt,
Detlef Nauck
Publication year - 2000
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-67837-9
DOI - 10.1007/10720181_4
Subject(s) - computer science , data science , fuzzy logic , data mining , knowledge extraction , information retrieval , artificial intelligence
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 ap- proaches studied in this area have mainly been oriented towards highly structured and precise data. In addition, the goal to obtain understand- able results is often neglected. Therefore we suggest concentrating on In- formation Mining, i.e. the analysis of heterogeneous information sources with the main 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.
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