Data mining for association rules and sequential patterns within data of inhomogeneous type
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United States of America Patent
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Apr 22, 2003
Grant Date -
N/A
app pub date -
Apr 27, 2000
filing date -
Apr 27, 1999
priority date (Note) -
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Abstract
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.
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