Authors:
Cristina Wanzeller
1
and
Orlando Belo
2
Affiliations:
1
Escola Superior de Tecnologia, Instituto Politécnico de Viseu, Portugal
;
2
Universidade do Minho, Portugal
Keyword(s):
Web Usage Mining, Case-Based Reasoning, Processing model, Clickstream Data Mining Assistance.
Related
Ontology
Subjects/Areas/Topics:
Business Analytics
;
Communication and Software Technologies and Architectures
;
Data Engineering
;
Data Warehouses and Data Mining
;
e-Business
;
Engineering Information System
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
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.