2004Unpublished venueRequires access

Web mining research

Bin Wang, Liu Zhijing

Open publisher page 25 citations

Abstract

Web mining is a cross point of database, information retrieval and artificial intelligence. Web content mining (WCM), Web structure mining (WSM) and Web usage mining (WUM) buildup the whole Web mining. The research issues, techniques and development efforts are presented in this paper.

About this research paper

What this paper is about

Web mining is a cross point of database, information retrieval and artificial intelligence. Web content mining (WCM), Web structure mining (WSM) and Web usage mining (WUM) buildup the whole Web mining. The research issues, techniques and development efforts are presented in this paper.

Why it matters

OpenAlex reports 25 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Available abstract

Web mining is a cross point of database, information retrieval and artificial intelligence. Web content mining (WCM), Web structure mining (WSM) and Web usage mining (WUM) buildup the whole Web mining. The research issues, techniques and development efforts are presented in this paper.

Key concepts: Web mining, Web intelligence, Computer science, Data Web, World Wide Web, Web analytics, Web modeling, Web development

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