FUZZY MULTIPLE-LEVEL SEQUENTIAL PATTERNS DISCOVERY FROM CUSTOMER TRANSACTION DATABASES

An Chen; Huilin Ye

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Paper

FUZZY MULTIPLE-LEVEL SEQUENTIAL PATTERNS DISCOVERY FROM CUSTOMER TRANSACTION DATABASES

Topics: Data Warehouse

In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS, 434-440, 2004 , Porto, Portugal

Authors: An Chen ¹ and Huilin Ye ²

Affiliations: ¹ Institute of Policy and Management, Chinese Academy of Sciences, China ; ² School of Electrical Engineering and Computer Science, University of Newcastle, Australia

Keyword(s): Data mining, Fuzzy sequential patterns, Transaction databases

Related Ontology Subjects/Areas/Topics: Data Warehouses and OLAP ; Databases and Information Systems Integration ; Enterprise Information Systems

Abstract: Sequential pattern discovery is a very important research topic in data mining and knowledge discovery and has been widely applied in business analysis. Previous works were focused on mining sequential patterns at a single concept level based on definite and accurate concept which may not be concise and meaningful enough for human experts to easily obtain nontrivial knowledge from the rules discovered. In this paper, we introduce concept hierarchies firstly, and then discuss a mining algorithm F-MLSPDA for discovering multiple-level sequential patterns with quantitative attribute based on fuzzy partitions.

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Paper citation in several formats:

Chen, A. and Ye, H. (2004). FUZZY MULTIPLE-LEVEL SEQUENTIAL PATTERNS DISCOVERY FROM CUSTOMER TRANSACTION DATABASES. In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 972-8865-00-7; ISSN 2184-4992, SciTePress, pages 434-440. DOI: 10.5220/0002608604340440

@conference{iceis04,
author={An Chen. and Huilin Ye.},
title={FUZZY MULTIPLE-LEVEL SEQUENTIAL PATTERNS DISCOVERY FROM CUSTOMER TRANSACTION DATABASES},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2004},
pages={434-440},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002608604340440},
isbn={972-8865-00-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - FUZZY MULTIPLE-LEVEL SEQUENTIAL PATTERNS DISCOVERY FROM CUSTOMER TRANSACTION DATABASES
SN - 972-8865-00-7
IS - 2184-4992
AU - Chen, A.
AU - Ye, H.
PY - 2004
SP - 434
EP - 440
DO - 10.5220/0002608604340440
PB - SciTePress