Applications of Concurrent Access Patterns in Web Usage Mining

Abstract

Abstract. This paper builds on the original data mining and modelling research which has proposed the discovery of novel structural relation patterns, applying the approach in web usage mining. The focus of attention here is on concurrent access patterns (CAP), where an overarching framework illuminates the methodology for web access patterns post-processing. Data pre-processing, pattern discovery and patterns analysis all proceed in association with access patterns mining, CAP mining and CAP modelling. Pruning and selection of access patterns takes place as necessary, allowing further CAP mining and modelling to be pursued in the search for the most interesting concurrent access patterns. It is shown that higher level CAPs can be modelled in a way which brings greater structure to bear on the process of knowledge discovery. Experiments with realworld datasets highlight the applicability of the approach in web navigation.

Protein Data Modelling for Concurrent Sequential Patterns

“…Based on sequence databases, structural relation patterns mining aims to find more complex information including concurrent patterns, exclusive patterns, iterative patterns and their composition [2]. Concurrent Sequential Patterns (ConSP) mining methods have already been applied in the analysis of customer behaviour and user navigation on the Internet [3]. These structural relations have corresponding applications in motif identification and a new method and algorithms were proposed in [4] for the extraction of novel patterns from protein sequences.…”