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Sequential Clustering: A Study on Covering Based Rough Set Theory.

机译:顺序聚类:基于覆盖的粗糙集理论研究。

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ABSTRACT Sequential data analysis is one of the vital research area. Several data mining techniques like classification, association, predictions can be applied in sequential data. Clustering is a challenging task in the field of machine learning, pattern recognition and web mining. Clustering is the process of grouping data based on some similarities but applying clustering approach in sequential data should focus on order as well as the content of sequence similarity. Rough set theory is one .
机译:摘要顺序数据分析是至关重要的研究领域之一。可以将诸如分类,关联,预测之类的几种数据挖掘技术应用于顺序数据。在机器学习,模式识别和Web挖掘领域,聚类是一项具有挑战性的任务。聚类是基于一些相似性对数据进行分组的过程,但是在顺序数据中应用聚类方法应注重顺序以及序列相似性的内容。粗糙集理论就是其中之一。

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