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 |