06月05日(Wed) 09:00〜10:40 A会場(-国際会議場3F メインホール)
| 演題番号 | 2A1-IOS-3b-3 |
|---|---|
| 題目 | A Decremental Utility Mining Algorithm Based on the Pre-large Concept |
| 著者 | Lin Chun-Wei(Harbin Institute of Technology Shenzhen Graduate School) Hong Tzung-Pei(National University of Kaohsiung / National Sun Yat-sen University) Lan Guo-Cheng(National Cheng Kung University) Wong Jia-Wei(National Sun Yat-sen University) Lin Wen-Yang(National University of Kaohsiung) |
| 時間 | 06月05日(Wed) 09:40〜10:00 |
| 概要 | In the past, utility mining was proposed to measure the utility values of purchased items for revealing high utility itemsets from a quantitative database. In dynamic data mining, transactions may be inserted, or deleted in the database. A batch mining procedure must rescan the whole updated database to maintain the up-to-date information. In this paper, a decremental mining algorithm is thus proposed for efficiently maintaining the discovered high utility itemsets due to transaction deletion based on the pre-large concept. Experimental results show that the proposed decremental high utility mining algorithm outperforms existing batch algorithms. |
| 論文 | PDFファイル |