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- W2354278106 abstract "With occurrences of many related applications,recently frequent episodes mining in event stream has become a hot research topic in data mining field.There exists some algorithms for frequent episodes mining such as window-based and non-overlapped occurrences based methods.However,these algorithms are not efficient,or even incapable,when dealing with the distinct occurrences based frequency counting of an episode which is essentially more effective.To solve the problem,this paper introduces a finite state automaton with state counting,and consequently proposes an efficient algorithm based on this model.It also gives theoretical analysis about the cost and effectiveness of this algorithm.Experimental results also verify the efficiency and effectiveness of the proposed algorithm." @default.
- W2354278106 created "2016-06-24" @default.
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- W2354278106 date "2010-01-01" @default.
- W2354278106 modified "2023-10-17" @default.
- W2354278106 title "Fast Algorithm for Frequent Episodes Counting in Event Stream" @default.
- W2354278106 hasPublicationYear "2010" @default.
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