Automatically assigned DDC number: 006312

Manually assigned DDC number: 006312

Number of references: 16

Title: Data Mining of User Navigation Patterns

Author:

Subject: Mark Levene Data Mining of User Navigation Patterns

Description: . We propose a data mining model that captures the user navigation behaviour patterns. The user navigation sessions are modelled as a hypertext probabilistic grammar whose higher probability strings correspond to the user's preferred trails. An algorithm to efficiently mine such trails is given. We make use of the Ngram model which assumes that the last N pages browsed affect the probability of the next page to be visited. The model is based on the theory of probabilistic grammars providing it with a sound theoretical foundation for future enhancements. Moreover, we propose the use of entropy as an estimator of the grammar 's statistical properties. Extensive experiments were conducted and the results show that the algorithm runs in linear time, the grammar's entropy is a good estimator of the number of mined trails and the real data rules confirm the effectiveness of the model. 1 Introduction Data Mining and Knowledge Discovery is an active research discipline involving ...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 2000-03-17

Pubyear: 2000

Format: ps

Identifier: http://citeseer.ist.psu.edu/308898.html

Source: http://www-misa.cs.ucl.ac.uk/staff/J.Borges/publications/webkdd99lncs.ps.gz

Language: en

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