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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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Wanzeller, C. and Belo, O. (2006). CLICKSTREAM DATA MINING ASSISTANCE - A Case-Based Reasoning Task Model. In Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT; ISBN 978-972-8865-69-6; ISSN 2184-2833, SciTePress, pages 61-66. DOI: 10.5220/0001319000610066

@conference{icsoft06,
author={Cristina Wanzeller. and Orlando Belo.},
title={CLICKSTREAM DATA MINING ASSISTANCE - A Case-Based Reasoning Task Model},
booktitle={Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT},
year={2006},
pages={61-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001319000610066},
isbn={978-972-8865-69-6},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT
TI - CLICKSTREAM DATA MINING ASSISTANCE - A Case-Based Reasoning Task Model
SN - 978-972-8865-69-6
IS - 2184-2833
AU - Wanzeller, C.
AU - Belo, O.
PY - 2006
SP - 61
EP - 66
DO - 10.5220/0001319000610066
PB - SciTePress