完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Chiu, Shih-Chuan | en_US |
dc.contributor.author | Li, Hua-Fu | en_US |
dc.contributor.author | Huang, Jiun-Long | en_US |
dc.contributor.author | You, Hsin-Han | en_US |
dc.date.accessioned | 2014-12-08T15:11:48Z | - |
dc.date.available | 2014-12-08T15:11:48Z | - |
dc.date.issued | 2011-04-01 | en_US |
dc.identifier.issn | 0165-5515 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1177/0165551511401539 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/9048 | - |
dc.description.abstract | Mining inter-transaction association rules is one of the most interesting issues in data mining research. However, in a data stream environment the previous approaches are unable to find the result of the new-incoming data and the original database without re-computing the whole database. In this paper, we propose an incremental mining algorithm, called DSM-CITI (Data Stream Mining for Closed Inter-Transaction Itemsets), for discovering the set of all frequent inter-transaction itemsets from data streams. In the framework of DSM-CITI, a new in-memory summary data structure, ITP-tree, is developed to maintain frequent inter-transaction itemsets. Moreover, algorithm DSM-CITI is able to construct ITP-tree incrementally and uses the property to avoid unnecessary updates. Experimental studies show that the proposed algorithm is efficient and scalable for mining frequent inter-transaction itemsets over stream sliding windows. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | data mining | en_US |
dc.subject | data streams | en_US |
dc.subject | incremental mining | en_US |
dc.subject | stream sliding window mining | en_US |
dc.subject | frequent inter-transaction itemsets | en_US |
dc.title | Incremental mining of closed inter-transaction itemsets over data stream sliding windows | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1177/0165551511401539 | en_US |
dc.identifier.journal | JOURNAL OF INFORMATION SCIENCE | en_US |
dc.citation.volume | 37 | en_US |
dc.citation.issue | 2 | en_US |
dc.citation.spage | 208 | en_US |
dc.citation.epage | 220 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000289408600008 | - |
dc.citation.woscount | 2 | - |
顯示於類別: | 期刊論文 |