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AssigneeInternational Business Machines Corporation
InventorFriedemann Schwenkreis
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The invention relates to a computerized method for data mining for association rules and/or sequential patterns in a multitude of records. The invention is applicable to records that include a transaction-identification and at least one transaction-item with a corresponding item-type, wherein the multitude of records include transaction-items to be mined having different item-types. The method further includes a preprocessing step for transforming each record into one or more transaction-records in transaction-format. For each transaction-item to be data mined in a record, a transaction-record is generated and the transaction-record includes at least the transaction-identification of the record and an encoded transaction-item. The encoded transaction-item encodes the transaction-item and its corresponding item-type into one value. Finally the method includes a mining step wherein a state of the art data-mining technique is applied to the transaction-records for data mining for association rules and/or sequential patterns.
A computerized method of data mining for association rules and/or sequential patterns in a multitude of records using a data-mining technique that processes transaction-records only in transaction format, each said record in said multitude of records having a transaction identification and at least one transaction-item to be data-mined, said transaction-item being of a corresponding item-type, said multitude of records including transaction-items to be data-mined of different item-types, comprising the steps of:
Dependencies are inferred from the claim text.