Clickstream data mining assistance - A case-based reasoning task model

Abstract

This paper presents a case-based reasoning system to assist users in knowledge discovery from clickstream data. The system is especially oriented to store and make use of the knowledge acquired from the experience in solving specific clickstream data mining problems inside a corporate environment. We describe the main design, implementation and characteristics of this system. It was implemented as a prototype Web-based application, centralizing the past mining processes in a corporative memory. Its main goal is to recommend the most suited mining strategies to address the problem at hand, accepting as inputs the characteristics of the available data and the analysis requirements. The system also takes advantage and integrates corporative related information resources, supporting a semi-automated data gathering approach.