Mining normalized weighted frequent sequential patterns with Time intervals algorithm

In this paper, we propose a method for mining normalized weighted frequent sequential patterns with time intervals, we are not only interested in the number of occurrences of the sequence (the support), but also concerned about their level of different importance (weighted). We use the binding betwe...

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主要作者: Trần Huy Dương, Vũ Đức Thi
格式: 圖書 Book chapter Dataset
出版: ĐHQGHN 2016
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在線閱讀:http://repository.vnu.edu.vn/handle/VNU_123/10834
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總結:In this paper, we propose a method for mining normalized weighted frequent sequential patterns with time intervals, we are not only interested in the number of occurrences of the sequence (the support), but also concerned about their level of different importance (weighted). We use the binding between the support and weight of the set range to candidates in mining normalized weighted frequent sequential patterns with time intervals while maintaining the downward closure property nature which allows a balance between support and the weight of a sequence.