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用于挖掘定量流上的模糊序列模式的数据集

用于挖掘定量流上的模糊序列模式的数据集

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Omid Shakeri, M.Sc omid.shakeri '@' tmu.ac.ir ; omid.shakeri '@' gmail.comData Mining Lab., Computer Eng......

数据结构 ? 10.8M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Omid Shakeri, M.Sc
    omid.shakeri '@' tmu.ac.ir ; omid.shakeri '@' gmail.com
    Data Mining Lab., Computer Engineering Department, Kharazmi University, Karaj/Tehran, Iran

    Mir Mohsen Pedram, Ph.D
    pedram '@' tmu.ac.ir
    Data Mining Lab., Computer Engineering Department, Kharazmi University, Karaj/Tehran, Iran


    Data Set Information:

    This data set is generated from the original T40I10D100K data set, to mine fuzzy sequential patterns over quantitative streams. While the original T40I10D100K is generated from the synthetic data generator described in a€?R. Agrawal, R. Srikant, Fast algorithms for mining association rules, 20th Intl. Conf. on Very Large Databases (VLDBa€?94), pp. 487-499. 1994a€?.
    The data set is a SQL Server 2008 database, which can be attached to a SQL Server Instance to use


    Attribute Information:

    CustomerID: the ID of the customer who has performed the transaction (randomly generated [1 100])
    Time: the time that the transaction has been performed
    Transaction: the transaction which has been performed
    Quantity: the quantity value of each transaction (randomly generated [1 10])


    Relevant Papers:

    The papers which use this data set are being reviewed by referees.



    Citation Request:

    Please refer to the Machine Learning Repository's citation policy

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