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Proceedings Paper

Web data mining
Author(s): Kasanda John Wibonele; Yanqing Zhang
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Paper Abstract

A web data mining system using granular computing and ASP programming is proposed. This is a web based application, which allows web users to submit survey data for many different companies. This survey is a collection of questions that will help these companies develop and improve their business and customer service with their clients by analyzing survey data. This web application allows users to submit data anywhere. All the survey data is collected into a database for further analysis. An administrator of this web application can login to the system and view all the data submitted. This web application resides on a web server, and the database resides on the MS SQL server.

Paper Details

Date Published: 12 March 2002
PDF: 4 pages
Proc. SPIE 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, (12 March 2002); doi: 10.1117/12.460233
Show Author Affiliations
Kasanda John Wibonele, Georgia State Univ. (United States)
Yanqing Zhang, Georgia State Univ. (United States)

Published in SPIE Proceedings Vol. 4730:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV
Belur V. Dasarathy, Editor(s)

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