探索数据流中基于日历的模式挖掘

Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development Pub Date : 1900-01-01 DOI:10.4018/978-1-60566-748-5.CH016

Rodrigo Salvador Monteiro, Geraldo Zimbrão, H. Schwarz, B. Mitschang, J. Souza

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引用次数: 2

摘要

基于日历的模式(Li, Y. et al.， 2001) (Ramaswamy, S. et al.， 1998)被提出作为时间间隔语义丰富的表示，并用于挖掘时间关联规则。日历模式的一个例子是(year, month, day, day_period)，它定义了一组日历模式，例如1999年1月的每个早晨(1999,January， *， morning)或1月的每个16天

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Exploring Calendar-Based Pattern Mining in Data Streams

Calendar-based schemas (Li, Y. et al., 2001) (Ramaswamy, S. et al., 1998) were proposed as a semantically rich representation of time intervals and used to mine temporal association rules. An example of a calendar schema is (year, month, day, day_period), which defines a set of calendar patterns, such as every morning of January of 1999 (1999, January, *, morning) or every 16th day of January ABStrAct

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Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development

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