Web mining in soft computing framework: relevance, state of the art and future directions

Author

Pal, Sankar K. ; Talwar, Varun ; Mitra, Pabitra

Author_Institution

Machine Intelligence Unit, Indian Stat. Inst., Calcutta, India

Volume

13

Issue

5

fYear

2002

fDate

9/1/2002 12:00:00 AM

Firstpage

1163

Lastpage

1177

Abstract

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), artificial neural networks (ANNs), genetic algorithms (GAs), and rough sets (RSs) are 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 justification. Scope for future research in developing "soft Web mining" systems is explained. An extensive bibliography is also provided.

Keywords

Internet; bibliographies; data mining; fuzzy logic; genetic algorithms; information retrieval; neural nets; rough set theory; ANNs; FL; GAs; RSs; Web data; Web mining; artificial neural networks; data mining; fuzzy logic; genetic algorithms; information retrieval; knowledge discovery; pattern recognition; rough sets; search engines; soft Web mining; soft computing framework; Artificial intelligence; Artificial neural networks; Computer networks; Data mining; Fuzzy logic; Genetic algorithms; Information retrieval; Rough sets; Search engines; Web mining;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/TNN.2002.1031947

Filename

1031947