An average linear time algorithm for web usage mining

• Type: Article in International Scientific Journal
• Date: 2004

Authors

José Luís Moura Borges (Author) FEUP; M. Levene (Author) Other

Journal

Title: INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING

Vol. 3 No. 2

Pages: 307-319

ISSN: 0219-6220

Indexing

ISI Web of Knowledge - 7 Citations

ISI Web of Science

Other information

Authenticus ID: P-000-A4M

DOI: 10.1142/s0219622004001021

Abstract (EN): In this paper, we study the complexity of a data mining algorithm for extracting patterns from user web navigation data that was proposed in previous work.(3) The user web navigation sessions are inferred from log data and modeled as a Markov chain. The chain's higher probability trails correspond to the preferred trails on the web site. The algorithm implements a depth-first search that scans the Markov chain for the high probability trails. We show that the average behaviour of the algorithm is linear time in the number of web pages accessed.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13