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DATA MINING FOR ASSOCIATION RULES AND SEQUENTIAL PATTERNS WITHIN DATA OF INHOMOGENEOUS TYPE
DATA MINING FOR ASSOCIATION RULES AND SEQUENTIAL PATTERNS WITHIN DATA OF INHOMOGENEOUS TYPE
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机译:非均匀类型数据中关联规则和顺序模式的数据挖掘
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摘要
DATA MINING FOR ASSOCIATION RULES AND SEQUENTIALPATTERNS WITHIN DATA OF INHOMOGENEOUS TYPEAbstractThe invention relates to a computerized method for data mining for association rulesand/or sequential patterns of a multitude of records. The invention is applicable torecords comprising a transaction-identification and at least one transaction-item witha corresponding item-type wherein said multitude of records comprise transaction items of different item-types. The proposed method further comprises apreprocessing-step for transforming each record into one or more transaction-recordsof transaction-format. According to said transaction format for each transaction item in said record a transaction-record is generated and said transaction-recordcomprises at least the transaction-identification of said record and an encodedtransaction-item encoding said transaction-item and its corresponding item-type intoone value. Finally said method comprises a mining-Step wherein a state of the artdata-mining techniques is applied to said transaction-records for data mining forassociation rules and/or sequential patterns.Fig 4
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