Association-rule-based User Segmenta-tion: An Empirical Study
Authors
Ming Ren, Qiang Wei, Wei Xu
Corresponding Author
Ming Ren
Available Online December 2010.
- 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/).
Cite this article
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 -