An Incremental Approach for Rule Induction under Coarsening and Refining of Attribute Values in E-Business Systems
Authors
Dun Liu, Tianrui Li, Junbo Zhang
Corresponding Author
Dun Liu
Available Online December 2010.
- DOI
- 10.2991/icebi.2010.60How to use a DOI?
- Keywords
- Rough sets theory, incremental learning, coarsening, refining, E-business.
- Abstract
The variation of attribute values is an important case in the dynamic EBusiness systems. With the rapid increase and update of data sets in business database everyday, a new incremental model, approach as well as its algorithm is presented for rule induction under coarsening and refining of attribute values. An example with online-shopping illuminate our method and experiments validate the feasibility of the incremental approach.
- 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 - Dun Liu AU - Tianrui Li AU - Junbo Zhang PY - 2010/12 DA - 2010/12 TI - An Incremental Approach for Rule Induction under Coarsening and Refining of Attribute Values in E-Business Systems BT - Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010) PB - Atlantis Press SP - 433 EP - 439 SN - 1951-6851 UR - https://doi.org/10.2991/icebi.2010.60 DO - 10.2991/icebi.2010.60 ID - Liu2010/12 ER -