A three-scan algorithm to mine high on-shelf utility itemsets

Guo Cheng Lan*, Tzung Pei Hong, S. Tseng

*Corresponding author for this work

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

In this paper, we handle a new kind of patterns named high on-shelf utility itemsets, which considers not only individual profit and quantity of each item in a transaction but also common on-shelf time periods of a product combination. We propose a three-scan mining approach to effectively and efficiently discover high on-shelf utility itemsets. The proposed approach adopts an itemset-generation mechanism to prune redundant candidates early and to systematically check the itemsets from transactions. The experimental results on synthetic datasets also show the proposed approach has a good performance.

原文English
主出版物標題Intelligent Information and Database Systems - Second International Conference, ACIIDS, Proceedings
頁面351-358
頁數8
版本PART 2
DOIs
出版狀態Published - 17 九月 2010
事件2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010 - Hue City, Viet Nam
持續時間: 24 三月 201026 三月 2010

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 2
5991 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010
國家Viet Nam
城市Hue City
期間24/03/1026/03/10

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