VAS (Visual Analysis System): An information visualization engine to interpret World Wide Web structure

Authors

Tarkan Karadayi, University of Texas-Pan American

Date of Award

5-2000

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Dr. Richard H. Fowler

Second Advisor

Dr. Xiannong Meng

Third Advisor

Dr. Zhixiang Chen

Abstract

People increasingly encounter problems of interpreting and filtering mass quantities of information. The enormous growth of information systems on the World Wide Web has demonstrated that we need systems to filter, interpret, organize and present information in ways that allow users to use these large quantities of information. People need to be able to extract knowledge from this sometimes meaningful but sometimes useless mass of data in order to make informed decisions. Web users need to have some kind of information about the sort of page they might visit, such as, is it a rarely referenced or often-referenced page? This master's thesis presents a method to address these problems using data mining and information visualization techniques.

Comments

Copyright 2000 Tarkan Karadayi. All Rights Reserved.

https://www.proquest.com/dissertations-theses/vas-visual-analysis-system-information/docview/230649206/se-2?accountid=7119

Granting Institution

University of Texas-Pan American