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DATA MINING FOR ASSOCIATION RULES AND SEQUENTIAL PATTERNS WITHIN DATA OF INHOMOGENEOUS TYPE

机译:非均匀类型数据中关联规则和顺序模式的数据挖掘

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
机译:关联规则和顺序的数据挖掘不均匀类型数据内的图案抽象本发明涉及一种用于关联规则的数据挖掘的计算机化方法。和/或多个记录的顺序模式。本发明适用于包含交易标识和至少一个交易项目的记录相应的项目类型,其中,所述多个记录包括交易不同项目类型的项目。所提出的方法还包括将每条记录转换为一个或多个事务记录的预处理步骤交易格式。根据上述交易格式进行每笔交易所述记录中的项目,产生交易记录,并且所述交易记录至少包括所述记录的交易标识和已编码将所述交易项目及其对应的项目类型编码为交易项目一个价值。最后,所述方法包括挖掘步骤,其中现有技术水平数据挖掘技术应用于所述交易记录以进行数据挖掘关联规则和/或顺序模式。图4

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