A Fuzzy Cognitive Map-Driven Inference Amplification Approach to Web Mining

This paper proposes using a stratified fuzzy cognitive map (FCM) to amplify inference results of Web mining As a dramatic usage of the Internet for a wide variety of daily management activities, Web mining becomes one of the intelligent techniques to provide robust decision support. However, conventional Web mining approaches have failed to offer enriched inference results due to the lack of understanding causal knowledge hidden in the Web mining results. In this sense, this paper proposes using a stratified FCM to overcome this pitfall of the conventional Web mining approaches. Illustrative example is presented to prove the performance of our proposed approach.