AN INCREMENTAL UPDATING TECHNIQUE FOR MINING INDIRECT ASSOCIATION RULES

摘要：

While direct association rules are dedicated to describe the direct correlations among the items in a frequent itemset, indirect association rules are dedicated to describe the indirect correlations between the two items in a infrequent itemset. All the existing research works about indirect association rules are focused on improving the efficiency of mining algorithm for indirect association rules. Like incremental updating algorithm is important for mining association rules, incremental updating algorithm is also important for mining indirect association rules. In this paper, we put forward an incremental updating algorithm for mining indirect association rules to deal with the maintenance of discovered indirect association rules resulted from the change of the minimum support. The main idea is to re-utilize the results acquired in process with the old minimum support.

关键词： Indirect Association Rules Incremental Updating

作者: CHENG ZHENG

作者单位: Educational Department Key Laboratory of Intelligent Computing & Signal Processing, Anhui University School of Computer Science and Technology, Anhui University, Hefei230039, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 217-221

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）