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Uncertain data mining is becoming a research hotspot with the emergence of uncertain data in sensor network, Web application and other fields. How to obtain effective uncertain data sets is a prerequisite for the study of clustering, classification, frequent itemsets mining, isolated point detection and so on. In this paper, the representation model of uncertain data is analyzed, and corresponding...
With the continuous expansion of the data stream applications, the data stream frequent pattern mining is becoming a hot research topic in the field of data mining, the domestic and foreign scholars put forward a large number of data stream frequent itemsets mining algorithms. This paper improves the related definitions of frequent itemsets and sliding windows, classifies sliding windows from data...
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