Web Mining in Soft Computing Framework : Relevance , State of the Art and Future
نویسندگان
چکیده
| The article summarizes the diierent characteristics of web data, the basic components of web mining and its diierent types, and their current states of the art. The reason for considering web mining, a separate eld from data mining, is explained. The limitations of some of the existing web mining methods and tools are enunciated, and the signiicance of soft computing (comprising fuzzy logic, ar-tiicial neural networks, genetic algorithms and rough sets) highlighted. A survey of the existing literature on`soft web mining' is provided along with the commercially available systems. The prospective areas of web mining where the application of soft computing needs immediate attention are outlined with justiication. Scope for future research in de-veloping`soft web mining' systems is explained. An extensive bibliography is also provided.
منابع مشابه
Web mining in soft computing framework: relevance, state of the art and future directions
The paper summarizes the different characteristics of Web data, the basic components of Web mining and its different types, and the current state of the art. The reason for considering Web mining, a separate field from data mining, is explained. The limitations of some of the existing Web mining methods and tools are enunciated, and the significance of soft computing (comprising fuzzy logic (FL...
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1Department of Computer Science, Soft Computing and Intelligent Systems Research Group, University of the Western Cape, Private Bag X17, Bellville, Cape Town, South Africa 2Department of Mathematical Sciences (Computer Science Option), Ekiti State University, Ado-Ekiti, PMB 5363, Ado-Ekiti, Ekiti State, Nigeria 3College of Information and Communication Technology, Crescent University, Abeokuta,...
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