Association-rule-based User Segmenta-tion: An Empirical Study

DOI

10.2991/icebi.2010.33How to use a DOI?

Keywords

segmentation, association rule, the Entity-Relationship (ER) model, understandability, empirical study

Abstract

Segmentation is becoming crucial than ever for proper exploration of information and delivery of services to the users in a personalized manner. This paper proposes a user segmentation method based on association rules discovered in large databases, and represents the hierarchical segmentation by the Entity-Relationship model, which is easy to understand. To evaluate the proposed model, the understandability of the model is studied from the perspective of a modeler. The experiment result shows that the models were understandable and richer in semantics, and that the level of segmentation hierarchy might affect the degree of understandability.

Copyright

© 2010, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ming Ren
AU  - Qiang Wei
AU  - Wei Xu
PY  - 2010/12
DA  - 2010/12
TI  - Association-rule-based User Segmenta-tion: An Empirical Study
BT  - Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
PB  - Atlantis Press
SP  - 225
EP  - 231
SN  - 1951-6851
UR  - https://doi.org/10.2991/icebi.2010.33
DO  - 10.2991/icebi.2010.33
ID  - Ren2010/12
ER  -