Positive and negative association rule mining on XML data streams in database as a service concept
- 作者：Samet Ç ; okpı ; nar sametcokpinar@gmail.com ; Taflan İ ; mre Gü ; ndem ; gundem@boun.edu.tr
- 关键词：Association rule mining ; Data streams ; Databases
- 刊名：Expert Systems with Applications
- 出版年：2012
- 期刊代码：62_09574174
- 类别：et
- 出版时间：15 June, 2012
- 卷：39
- 期：8
- 页码：7503-7511
- 文件大小：966 K
摘要
In recent years, data mining has become one of the most popular techniques for data owners to determine their strategies. Association rule mining is a data mining approach that is used widely in traditional databases and usually to find the positive association rules. However, there are some other challenging rule mining topics like data stream mining and negative association rule mining. Besides, organizations want to concentrate on their own business and outsource the rest of their work. This approach is named 鈥渄atabase as a service concept鈥?and provides lots of benefits to data owner, but, at the same time, brings out some security problems. In this paper, a rule mining system has been proposed that provides efficient and secure solution to positive and negative association rule computation on XML data streams in database as a service concept. The system is implemented and several experiments have been done with different synthetic data sets to show the performance and efficiency of the proposed system.