Article Title

Web Data Mining: A Case Study

Authors

Samia Jones, Galveston College
Omprakash K. Gupta, Prairie View A&M University

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

Recommended Citation

Jones, Samia and Gupta, Omprakash K. (2006) "Web Data Mining: A Case Study," Communications of the IIMA: Vol. 6: Iss. 4, Article 5.
DOI: https://doi.org/10.58729/1941-6687.1338
Available at: https://scholarworks.lib.csusb.edu/ciima/vol6/iss4/5