Web Data Mining & Applications
Sita Gupta1, Vinod Todwal2
1Sita Gupta, MCA Department, Rajasthan Technical University/ RCEW , Jaipur, India.
2Vinod Todwal , IT Department, Rajasthan Technical University/ RCEW/ , Jaipur, India.
Manuscript received on january 17, 2012. | Revised Manuscript received on February 05, 2012. | Manuscript published on February 29, 2012. | PP: 20-24 | Volume-1 Issue-3, February 2012. | Retrieval Number: C0170011312/2011©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: With an enormous amount of data stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is a process of inferring knowledge from such huge data. The main problem related to the retrieval of information from the World Wide Web is the enormous number of unstructured documents and resources, i.e., the difficulty of locating and tracking appropriate sources. In this article, a survey of the research in the area of web mining and suggest web mining categories and techniques. Furthermore, a presentation of a web mining environment generator that allows naive users to generate a web mining environment specific to a given domain by providing a set of specifications. Application of data mining techniques to the World Wide Web, referred to as Web mining, has been the focus of several recent research projects and papers. However, there is no established vocabulary, leading to confusion when comparing research efforts. The term Web mining has been used in two distinct ways. The first, called Web content mining in this paper, is the process of information discovery from sources across the World Wide Web. The second, called Web usage mining, is the process of mining for user browsing and access patterns. In this paper we define Web mining and present an overview of the various research is sues, techniques, and development efforts. We briefly describe WEBMINER, a system for Web usage mining, and conclude this paper by listing research issues.
Keywords: Data , Mining, Warehouse Web