A Study of Negative Association Rules Mining Algorithm Based on Multi-Database
Authors
Xushan Peng, Ping Cheng, Maoji Wang
Corresponding Author
Xushan Peng
Available Online May 2014.
- DOI
- 10.2991/iccia.2012.413How to use a DOI?
- Keywords
- data mining, negative association rules, multi-database
- Abstract
the mutual exclusion relationships among data items are reflected by negative association rules, whitch is very important on the decision-making analysis. In the last several years, negative association rules are frequently researched, while the study object of it is single mining of database now. With the development of database technology, multi-database mining is more and more important. On the basis of analyzing the related technology, research status and shortage of present negative association rules mining , the selecting rules, weighted synthesis and algorithm are discussed on multi-datobase.
- Copyright
- © 2013, 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 - Xushan Peng AU - Ping Cheng AU - Maoji Wang PY - 2014/05 DA - 2014/05 TI - A Study of Negative Association Rules Mining Algorithm Based on Multi-Database BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 1658 EP - 1661 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.413 DO - 10.2991/iccia.2012.413 ID - Peng2014/05 ER -