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Classification of Decision-Behavior Patterns in Multivariate Computer Log Data Using Independent Component Analysis

Fragos, Serafeim and Stergioulas, Lampros and Xydeas, Costas (2003) Classification of Decision-Behavior Patterns in Multivariate Computer Log Data Using Independent Component Analysis. In: Knowledge-Based Intelligent Information and Engineering Systems 7th International Conference, KES 2003, Oxford, UK, September 2003. Proceedings, Part II. Lecture Notes in Computer Science, 2774 . Springer, Berlin, pp. 73-79. ISBN 978-3-540-40804-8

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Abstract

The purpose of the work is to demonstrate the usefulness and applicability of audit trail data for modeling, classifying and predicting human user decision behavior using Independent Component Analysis. A hybrid behavior-modeling method, based on independent component analysis and sensitivity analysis, is proposed to directly classify decision behavior in terms of predetermined target measures. A comparison with alternative principal component analysis schemes demonstrates the advantages of the proposed method in terms of algorithmic speed, complexity, practical feasibility and data reduction capability. The capability of the system to provide intelligent support to executive decision making and internal control and to assist in several phases of the decision making process is highlighted.

Item Type: Contribution in Book/Report/Proceedings
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 57499
Deposited By: ep_importer_pure
Deposited On: 12 Oct 2012 13:50
Refereed?: No
Published?: Published
Last Modified: 15 Dec 2017 02:31
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/57499

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