Advanced methods for data mining

Authors:
Nicoleta David;Neculai Patrascu;Claudia-Georgeta Carstea;Lucian Patrascu;Ioan-Gheorghe Ratiu;Daniela Damian
Affiliations:
Department of Mathematics, Informatics and Socio-Human Sciences, "George Baritiu" University, Brasov, Romania;Department of Mathematics, Informatics and Socio-Human Sciences, "George Baritiu" University, Brasov, Romania;Department of Mathematics, Informatics and Socio-Human Sciences, "George Baritiu" University, Brasov, Romania;Department of Mathematics, Informatics and Socio-Human Sciences, "George Baritiu" University, Brasov, Romania;Department of Mathematics, Informatics and Socio-Human Sciences, "George Baritiu" University, Brasov, Romania;Department of Mathematics, Informatics and Socio-Human Sciences, "George Baritiu" University, Brasov, Romania
Venue:
AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Year:
2009

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Abstract

Data mining offers a large spectrum of information retrieval techniques for many fields, like health care, human resources, banking, performance efficiency in managerial systems, etc. Web mining is the application of data mining techniques to discover user web navigation patterns in web log data. In this paper we present a Web Mining model used for estimation of the length of typical trails in a web site.