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Authors: Cristina Wanzeller 1 and Orlando Belo 2

Affiliations: 1 Escola Superior de Tecnologia, Instituto Politécnico de Viseu, Portugal ; 2 Escola de Engenharia, Universidade do Minho, Portugal

ISBN: 978-972-8865-89-4

Keyword(s): Web usage mining, clickstream data mining assistance, case based reasoning and similarity measures.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Business Analytics ; Case-Based Reasoning ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Pattern Recognition ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems ; Theory and Methods

Abstract: We implemented a mining plans selection system founded on the Case Based Reasoning paradigm, in order to assist the development of Web usage mining processes. The system’s main goal is to suggest the most suited methods to apply on a data analysis problem. Our approach builds upon the reuse of the experience gained from prior successfully mining processes, to solve current and future similar problems. The knowledge acquired after successfully solving such problems is organized and stored in a relational case base, giving rise to a (multi-) relational cases representation. In this paper we describe the similitude assessment devised within the retrieval of similar cases, to cope with the adopted representation. Structured representation and similarity assessment over complex data are issues relevant to a growing variety of application domains, being considered in multiple related lines of active research. We explore a number of different similarity measures proposed in the literature an d we extend one of them to better fit our purposes. (More)

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Paper citation in several formats:
Wanzeller C.; Belo O. and (2007). SIMILARITY ASSESSMENT IN A CBR APPLICATION FOR CLICKSTREAM DATA MINING PLANS SELECTION.In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-972-8865-89-4, pages 137-144. DOI: 10.5220/0002396201370144

@conference{iceis07,
author={Cristina Wanzeller and Orlando Belo},
title={SIMILARITY ASSESSMENT IN A CBR APPLICATION FOR CLICKSTREAM DATA MINING PLANS SELECTION},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2007},
pages={137-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002396201370144},
isbn={978-972-8865-89-4},
}

TY - CONF

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - SIMILARITY ASSESSMENT IN A CBR APPLICATION FOR CLICKSTREAM DATA MINING PLANS SELECTION
SN - 978-972-8865-89-4
AU - Wanzeller, C.
AU - Belo, O.
PY - 2007
SP - 137
EP - 144
DO - 10.5220/0002396201370144

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