教師資料查詢 | 類別: 會議論文 | 教師: 周清江 Chichang Jou (瀏覽個人網頁)

標題:Timed Sequential Pattern Mining Based on Confidence in Accumulated Intervals
學年103
學期1
發表日期2014/08/13
作品名稱Timed Sequential Pattern Mining Based on Confidence in Accumulated Intervals
作品名稱(其他語言)
著者Jou, Chichang; Shyur, Huan-Jyh; Yen, Chih-Yu
作品所屬單位淡江大學資訊管理學系
出版者IEEE
會議名稱The 15th IEEE International Conference on Information Reuse and Integration
會議地點San Francisco, U.S.A.
摘要Many applications of sequential patterns require a guarantee of a particular event happening within a period of time. We propose CAI-PrefixSpan, a new data mining algorithm to obtain confident timed sequential patterns from sequential databases. Based on PrefixSpan, it takes advantage of the pattern-growth approach. After a particular event sequence, it would first calculate the confidence level regarding the eventual occurrence of a particular event. For those pass the minimal confidence requirement, it then computes the minimal time interval that satisfies the support requirement. It then generates corresponding projected databases, and applies itself recursively on the projected databases. With the timing information, it obtains fewer but more confident sequential patterns. CAI-PrefixSpan is implemented along with PrefixSpan. They are compared in terms of numbers of patterns obtained and execution efficiency. Our effectiveness and performance study shows that CAI-PrefixSpan is a valuable and efficient approach in obtaining timed sequential patterns.
關鍵字timed sequential pattern mining; accumulated interval; PrefixSpan
語言英文(美國)
收錄於
會議性質國際
校內研討會地點
研討會時間20140813~20140815
通訊作者Jou, Chichang
國別美國
公開徵稿Y
出版型式電子版
出處Proceedings of the 15th International Conference on Information Reuse and Integration
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