Logic Programming Tools for Dynamic Content Generation and Internet Data Mining

The phenomenal growth of Information Technology requires us to elicit, store and maintain huge volumes of data. Analyzing this data for various purposes is becoming increasingly important. Data mining consists of applying data analysis and discovery algorithms that under acceptable computational efficiency limitations, produce a particular enumeration of patterns over the data. We present two techniques based on using Logic programming tools for data mining. Data mining analyzes data by extracting patterns which describe its structure and discovers co-relations in the form of rules. We distinguish analysis methods as visual and non-visual and present one application of each. We explain that our focus on the field of Logic Programming makes some of the very complex tasks related to Web based data mining and dynamic content generation, simple and easy to implement in a uniform framework.

Grantor dc:publisher

University of North Texas

Year dc:date

2000

Author dc:creator

• Gupta, Anima

Contributors dc:contributor

• Tarau, Paul
• Boukerche, Azzedine
• Jacob, Roy T.

• Logic programming.
• information technology
• patterns
• data mining
• Internet
• dynamic content generation

Statement dc:rights

• Use restricted to UNT Community
• Copyright
• Gupta, Anima
• Copyright is held by the author, unless otherwise noted. All rights reserved.

Language dc:language

English

Identifier

oclc: 50547294
https://digital.library.unt.edu/ark:/67531/metadc2677/
ark: ark:/67531/metadc2677

OAI identifier oai:identifier

info:ark/67531/metadc2677