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Modified Frequent Pattern Tree for Mining Negative Association Rules: A Data Mining Techniques for Market Basket Analysis - Softcover
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Mining of Negative Association Rule is helpful to discover the competent items i.e., one item can be substituted for another items in a database. In decision making, we generally use many advantage factors, and also consider some disadvantage factors, for the intention of less-risk (more-profit). It is necessary to focus on Negative Association Rule mining, because in the super market data analysis, Negative Association Rule Mining identifies whatever the items which are not buying together and also whatever the items which may be used as replacing (substituted or alternative) items for other items. Such kind of analysis is possible through Negative Association Rule Mining. Negative rules specify that the relationship between the present and absent item-sets. Negative Association Rule mining is also important because such types of rules should be considered in decision making for applications include product placement and investment analysis.
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Modified Frequent Pattern Tree for Mining Negative Association Rules: A Data Mining Techniques for Market Basket Analysis
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620497954X
ISBN 13: 9786204979540
New
Softcover
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Modified Frequent Pattern Tree for Mining Negative Association Rules: A Data Mining Techniques for Market Basket Analysis
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620497954X
ISBN 13: 9786204979540
New
Softcover
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Modified Frequent Pattern Tree for Mining Negative Association Rules
Published by
LAP LAMBERT Academic Publishing Jun 2022, 2022
ISBN 10: 620497954X
ISBN 13: 9786204979540
New
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mining of Negative Association Rule is helpful to discover the competent items i.e., one item can be substituted for another items in a database. In decision making, we generally use many advantage factors, and also consider some disadvantage factors, for the intention of less-risk (more-profit). It is necessary to focus on Negative Association Rule mining, because in the super market data analysis, Negative Association Rule Mining identifies whatever the items which are not buying together and also whatever the items which may be used as replacing (substituted or alternative) items for other items. Such kind of analysis is possible through Negative Association Rule Mining. Negative rules specify that the relationship between the present and absent item-sets. Negative Association Rule mining is also important because such types of rules should be considered in decision making for applications include product placement and investment analysis. 124 pp. Englisch. Seller Inventory # 9786204979540
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Modified Frequent Pattern Tree for Mining Negative Association Rules: A Data Mining Techniques for Market Basket Analysis
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620497954X
ISBN 13: 9786204979540
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18396037287
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Modified Frequent Pattern Tree for Mining Negative Association Rules
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620497954X
ISBN 13: 9786204979540
New
Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Balakrishna EppakayalaDr. Eppakayala Balakrishna completed M.Tech and Ph.D in CSE from JNTU University, Hyderabad. He is working as an Associate Professor in the department of CSE, Vaagdevi College of Engineering.Mining of Negati. Seller Inventory # 629937277
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Modified Frequent Pattern Tree for Mining Negative Association Rules
Published by
LAP LAMBERT Academic Publishing Jun 2022, 2022
ISBN 10: 620497954X
ISBN 13: 9786204979540
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. Neuware -Mining of Negative Association Rule is helpful to discover the competent items i.e., one item can be substituted for another items in a database. In decision making, we generally use many advantage factors, and also consider some disadvantage factors, for the intention of less-risk (more-profit). It is necessary to focus on Negative Association Rule mining, because in the super market data analysis, Negative Association Rule Mining identifies whatever the items which are not buying together and also whatever the items which may be used as replacing (substituted or alternative) items for other items. Such kind of analysis is possible through Negative Association Rule Mining. Negative rules specify that the relationship between the present and absent item-sets. Negative Association Rule mining is also important because such types of rules should be considered in decision making for applications include product placement and investment analysis.Books on Demand GmbH, Überseering 33, 22297 Hamburg 124 pp. Englisch. Seller Inventory # 9786204979540
Quantity: 2 available
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Modified Frequent Pattern Tree for Mining Negative Association Rules : A Data Mining Techniques for Market Basket Analysis
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620497954X
ISBN 13: 9786204979540
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mining of Negative Association Rule is helpful to discover the competent items i.e., one item can be substituted for another items in a database. In decision making, we generally use many advantage factors, and also consider some disadvantage factors, for the intention of less-risk (more-profit). It is necessary to focus on Negative Association Rule mining, because in the super market data analysis, Negative Association Rule Mining identifies whatever the items which are not buying together and also whatever the items which may be used as replacing (substituted or alternative) items for other items. Such kind of analysis is possible through Negative Association Rule Mining. Negative rules specify that the relationship between the present and absent item-sets. Negative Association Rule mining is also important because such types of rules should be considered in decision making for applications include product placement and investment analysis. Seller Inventory # 9786204979540
Quantity: 1 available