An average linear time algorithm for web usage mining

• Tipo: Artigo em Revista Científica Internacional
• Data: 2004

Autores

José Luís Moura Borges (Autor) FEUP; M. Levene (Autor) Outra

Revista

Título: INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING

Vol. 3 Nº 2

Páginas: 307-319

ISSN: 0219-6220

Indexação

ISI Web of Knowledge - 7 Citações

ISI Web of Science

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 13