標題: UP-Miner: A Utility Pattern Mining Toolbox
作者: Tseng, Vincent S.
Wu, Cheng-Wei
Lin, Jun-Han
Fournier-Viger, Philippe
資訊工程學系
Department of Computer Science
關鍵字: Utility pattern mining;high utility itemsets;high utility episodes;open-source toolbox;cross-platform system
公開日期: 2015
摘要: Utility pattern mining has received extensive attentions in recent years due to the wide and novel applications in various fields like e-commerce, Web mining, finance, biomedicine, etc. However, there exists not yet a toolbox for utility pattern mining so far. In this work, we address this issue by proposing a first-of-its-kind toolbox named UP-Miner (Utility Pattern Miner) that provides various functions for utility pattern mining. The main merits of UP-Miner lie in three aspects: First, it offers implementations of thirteen state-of-the-art algorithms for efficiently mining different types of utility patterns, such as high utility itemsets, high utility episodes and utility-based sequential patterns, as well as four functionalities for processing utility-based databases. Second, it is a cross-platform system implemented in Java with a user-friendly graphical interface. Third, the toolbox and relevant materials, including source codes, benchmark datasets and data generators, are made public on Web (http://bigdatalab.cs.nctu.edu.tw/software.htm) for benefiting the research community.
URI: http://dx.doi.org/10.1109/ICDMW.2015.115
http://hdl.handle.net/11536/136022
ISBN: 978-1-4673-8493-3
DOI: 10.1109/ICDMW.2015.115
期刊: 2015 IEEE International Conference on Data Mining Workshop (ICDMW)
起始頁: 1656
結束頁: 1659
顯示於類別:會議論文