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    Discovering Frequent Episodes : Fast Algorithms, Connections With HMMs And Generalizations 

    Laxman, Srivatsan (2008-10-13)
    Temporal data mining is concerned with the exploration of large sequential (or temporally ordered) data sets to discover some nontrivial information that was previously unknown to the data owner. Sequential data sets come ...

    On Generalized Measures Of Information With Maximum And Minimum Entropy Prescriptions 

    Dukkipati, Ambedkar (2008-01-29)
    Kullback-Leibler relative-entropy or KL-entropy of P with respect to R defined as ∫xlnddPRdP , where P and R are probability measures on a measurable space (X, ), plays a basic role in the definitions of classical information ...

    Bounds For Scheduling In Non-Identical Uniform Multiprocessor Systems 

    Darera, Vivek N (2008-01-16)
    With multiprocessors and multicore processors becoming ubiquitous, focus has shifted from research on uniprocessors to that on multiprocessors. Results derived for the uniprocessor case unfortunately do not always directly ...

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    AuthorDarera, Vivek N (1)Dukkipati, Ambedkar (1)Laxman, Srivatsan (1)Subject
    Computer Science (3)
    Allocation Decreasing Algorithm (1)Data Mining (1)Databases - Data Mining (1)Dynamic-Priority Scheduling (1)Earliest Deadline First (EDF) (1)Entropies (1)Entropy (Information theory) (1)Episode Discovery (1)Episodes (Temporal Patterns) (1)... View MoreDate Issued
    2008 (3)
    Has File(s)Yes (3)

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