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Gradual Evolution of Sequential Sequence Mining for Customer relation database

机译:客户关系数据库顺序序列挖掘的逐步发展

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摘要

The sequential sequence mining takes time interval between various transactions. Here we have discussed various techniques for finding large sequence from the historical database. Based on various methods the sequence will be useful to predict and plan various the strategies. Here inclusion of time interval between the items to be purchased will be useful. This paper focuses on the various techniques to generate large sequence.
机译:顺序序列挖掘需要各种事务之间的时间间隔。在这里,我们讨论了从历史数据库中查找大序列的各种技术。基于各种方法,该序列将有助于预测和规划各种策略。在这里,包括要购买的物品之间的时间间隔将是有用的。本文关注于生成大序列的各种技术。

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