Problems and Prospects in Fuzzy Data Analysis

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 towards highly structured and precise data. In addition, the goal to obtain understandable results is often neglected. Therefore we suggest concentrating on Information 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.

• Type: Conference
• Year: 2000
• Where: SOFT
• Authors: Rudolf Kruse, Christian Borgelt, Detlef Nauck
• Keywords: Data Mining, Heterogeneous Information Sources, Information Mining, SOFT 2000, Software Engineering