Mining temporal patterns from sequence database of interval-based events

Yen Liang Chen, Shin Yi Wu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

6 引文 斯高帕斯(Scopus)

摘要

Sequential pattern mining is one of the important techniques of data mining to discover some potential useful knowledge from large databases. However, existing approaches for mining sequential patterns are designed for point-based events. In many applications, the essence of events are interval-based, such as disease suffered, stock price increase or decrease, chatting etc. This paper presents a new algorithm to discover temporal pattern from temporal sequences database consisting of interval-based events.

原文???core.languages.en_GB???
主出版物標題Fuzzy Systems and Knowledge Discovery - Third International Conference, FSKD 2006, Proceedings
發行者Springer Verlag
頁面586-595
頁數10
ISBN(列印)3540459162, 9783540459163
DOIs
出版狀態已出版 - 2006
事件3rd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006 - Xi'an, China
持續時間: 24 9月 200628 9月 2006

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4223 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

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???event.eventtypes.event.conference???3rd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006
國家/地區China
城市Xi'an
期間24/09/0628/09/06

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