Paperback. Association rule mining techniques are important part of data mining to derive relationship between attributes of large databases. Association related rule mining have evolved huge interest among researchers as many challenging problems can be solved using them. Numerous algorithms have been discovered for deriving association rules effectively. It has been evaluated that not all algorithms can give similar results in all scenarios, so decoding these merits becomes important. In thisassociation rule mining algorithms were analyzed, Comparison of these algorithms were experimentally performed based on different datasets and different parameters. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Performance Analysis of Association Rule Mining Algorithms (Paperback)
Publisher: LAP Lambert Academic Publishing
Publication Date: 2024
Language: English
ISBN 10: 3659897906
ISBN 13: 9783659897900
Binding: Paperback
Condition: new

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Synopsis

Association rule mining techniques are important part of data mining to derive relationship between attributes of large databases. Association related rule mining have evolved huge interest among researchers as many challenging problems can be solved using them. Numerous algorithms have been discovered for deriving association rules effectively. It has been evaluated that not all algorithms can give similar results in all scenarios, so decoding these merits becomes important. In thisassociation rule mining algorithms were analyzed ,Comparison of these algorithms were experimentally performed based on different datasets and different parameters.

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