The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 88-190
Full Name: Shutan Hsieh
Position: Lecturer
Age: ON
Sex: Female
Address: 415 Chien Kung Road, Kaohsiung 807
Country: TAIWAN
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E-mail address: shutan@cc.kuas.edu.tw
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Title of the Paper: Fuzzy ART for the Document Clustering By Using Evolutionary Computation
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Number of paper pages: 10
Abstract: Many clustering techniques have been widely developed in order to retrieve, filter, and categorize documents available in the database or even on the Web. The issue to appropriately organize and store the information in terms of documents clustering becomes very crucial for the purpose of knowledge discovery and management. In this research, a hybrid intelligent approach has been proposed to automate the clustering process based on the characteristics of each document represented by the fuzzy concept networks. Through the proposed approach, the useful knowledge can be clustered and then utilized effectively and efficiently. In literature, artificial neural network have been widely applied for the document-clustering applications. However, the number of documents is huge so that it is hard to find the most appropriate ANN parameters in order to get the most appropriate clustering results. Traditionally, these parameters are adjusted manually by the way of tria!
l and error so that it is time consuming and doesn¡¦t guarantee an optimum result. Therefore, a hybrid approach incorporating an evolutionary computation (EC) approach and a Fuzzy Adaptive Resonance Theory (Fuzzy-ART) neural network has been proposed to adjust the Fuzzy-ART parameters automatically so that the best results of the document clustering can be obtained. The proposed approach is tested by using ninety articles in three different fields. The experimental results show that the proposed hybrid approach could generate the most appropriate parameters of Fuzzy-ART for getting the most desired clusters as expected.
Keywords: Documents clustering, Evolutionary computation, Fuzzy ART, Knowledge discovery
EXTENSION of the file: .doc
Special (Invited) Session: ANN Approach for the Document Clustering By Using Evolutionary Computation
Organizer of the Session: 646-656
How Did you learn about congress: Ta-Cheng Chen, tchen@nfu.edu.tw
IP ADDRESS: 123.205.75.6
