Profiling Web Usage in the Workplace: A Behavior-Based Artificial Intelligence Approach.

Author List: Anandarajan, Murugan;
Journal of Management Information Systems, 2002, Volume 19, Issue 1, Page 243-266.
Employees' nonwork-related Web surfing behavior results in millions of dollars of expenditure for organizations. This paper proposes the use of a behavior-based artificial intelligence system to profile employee Web usage behavior. Two artificial neural networks (ANN) incorporating genetic algorithm techniques were developed for this purpose. The system was validated with two different data sets. The classification performance of the neural network models was compared to that of a statistical method. The results indicate that one of the ANN models, namely the simple recurrent network, was a superior classifier for this behavior-based problem. In addition, the uncertainty inherent in such classification decisions was examined with a loss matrix, and the holdout samples were reclassified using a loss matrix. The output of this intelligent system can be highly beneficial to managers in designing effective Web management policies.
Keywords: artificial neural networks; classification models; genetic algorithms; loss matrix; misclassification rate; profiling; Web usage
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List of Topics

#215 0.357 data classification statistical regression mining models neural methods using analysis techniques performance predictive networks accuracy method variables prediction problem measure
#37 0.182 intelligence business discovery framework text knowledge new existing visualization based analyzing mining genetic algorithms related techniques large proposed novel artificial
#88 0.102 managers managerial manager decisions study middle use important manager's appropriate importance context organizations indicate field experience management major organizational results
#33 0.097 web site sites content usability page status pages metrics browsing design use web-based guidelines results implications portal loyalty navigability addition
#153 0.087 usage use self-efficacy social factors individual findings influence organizations beliefs individuals support anxiety technology workplace key outcome behavior contextual longitudinal
#97 0.070 set approach algorithm optimal used develop results use simulation experiments algorithms demonstrate proposed optimization present analytical distribution selection number existing