| 標題：Discovering time-interval sequential patterns by a pattern growth approach with confidence constraints |
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| 學年 | 104 |
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| 學期 | 2 |
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| 出版（發表）日期 | 2016/06/01 |
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| 作品名稱 | Discovering time-interval sequential patterns by a pattern growth approach with confidence constraints |
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| 作品名稱（其他語言） | |
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| 著者 | Shyur, Huan-Jyh; Jou, Chi-Chang; Cheng, Chi-Bin; Yen, Chih-Yu |
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| 單位 | |
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| 出版者 | |
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| 著錄名稱、卷期、頁數 | International Journal of Information and Management Sciences 27(2), p.129-145 |
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| 摘要 | Sequential pattern mining is to discover frequent sequential patterns in a sequence database. The technique is applied to fields such as web click-stream mining, failure forecast, and traf- fic analysis. Conventional sequential pattern-mining approaches generally focus only the orders of items; however, the time interval between two consecutive events can be a valuable information when the time of the occurrence of an event is concerned. This study extends the concept of the well-known pattern growth approach, PrefixSpan algorithm, to propose a novel sequential pattern mining approach for sequential patterns with time intervals. Unlike the other time-interval sequential pattern-mining algorithms, the approach concerns the time for the next event to occur more than the timing information with its precedent events. To obtain a more reliable sequential pattern, a new measure of the confidence of a sequential pattern is defined. Experiments are conducted to evaluate the performance of the proposed approach. |
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| 關鍵字 | Sequential pattern mining;time-interval sequential patterns;pattern growth;confidence |
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| 語言 | 英文 |
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| ISSN | 1017-1819 |
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| 期刊性質 | 國外 |
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| 收錄於 | EI; |
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| 產學合作 | |
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| 通訊作者 | Chi-Bin Cheng |
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| 審稿制度 | 是 |
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| 國別 | 中華民國 |
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| 公開徵稿 | |
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| 出版型式 | ,紙本 |
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| 相關連結 | |
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