Web Usage Mining Via Fuzzy Logic Techniques

Authors:
Víctor H. Escobar-Jeria;María J. Martín-Bautista;Daniel Sánchez;María-Amparo Vila
Affiliations:
Department of Informatics and Computer Science, Metropolitan Technological University of Santiago de Chile, Chile;Department of Computer Science and Artificial Intelligence, University of Granada, Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain;Department of Computer Science and Artificial Intelligence, University of Granada, Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain;Department of Computer Science and Artificial Intelligence, University of Granada, Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain
Venue:
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Year:
2007

Citing 9
Cited 1

Mining association rules between sets of items in large databases

SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
The World-Wide Web: quagmire or gold mine?

Communications of the ACM
Mining fuzzy association rules in databases

ACM SIGMOD Record
Data mining and the Web: past, present and future

Proceedings of the 2nd international workshop on Web information and data management
Mining Text Data: Special Features and Patterns

Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Data mining for hypertext: a tutorial survey

ACM SIGKDD Explorations Newsletter
The web as a graph: measurements, models, and methods

COCOON'99 Proceedings of the 5th annual international conference on Computing and combinatorics
Fuzzy association rules: general model and applications

IEEE Transactions on Fuzzy Systems
Data mining in soft computing framework: a survey

IEEE Transactions on Neural Networks

A Fuzzy Data Warehouse Approach for Web Analytics

WSKS '09 Proceedings of the 2nd World Summit on the Knowledge Society: Visioning and Engineering the Knowledge Society. A Web Science Perspective

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the increment of users and information on the Web, mining processes inspired in the traditional data mining ones have been developed. This new recent area of investigation is called Web Mining. Within this area, we study the analysis of web log files in what is called Web Usage Mining. Different techniques of mining to discover usage patterns from web data can be applied in Web Usage Mining. We will also study in a more detailed way applications of Fuzzy Logic in this area. Specially, we apply fuzzy association rules to web log files, and we give initial traces about the application of Fuzzy Logic to personalization and user profile construction.