Improving Web Learning through model Optimization using Bootstrap for a Tour-Guide Robot

TitleImproving Web Learning through model Optimization using Bootstrap for a Tour-Guide Robot
Publication TypeJournal Article
Year of Publication2012
AuthorsLeón, R., J. Rainer, J. M. Rojo, and R. Galán
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueSpecial Issue on Intelligent Systems and Applications
Volume1
Number6
Date Published09/2012
Pagination13-19
Abstract

We perform a review of Web Mining techniques and we describe a Bootstrap Statistics methodology applied to pattern model classifier optimization and verification for Supervised Learning for Tour-Guide Robot knowledge repository management. It is virtually impossible to test thoroughly Web Page Classifiers and many other Internet Applications with pure empirical data, due to the need for human intervention to generate training sets and test sets. We propose using the computer-based Bootstrap paradigm to design a test environment where they are checked with better reliability.

KeywordsBootstrap, Knowledge Management, Patterns Mining, Supervised Learning, Web Mining
DOI10.9781/ijimai.2012.162
URLhttp://www.ijimai.org/journal/sites/default/files/IJIMAI20121_6_2.pdf
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