Modified Frequent Pattern Tree for Mining Negative Association Rules

Language: English

Published by LAP LAMBERT Academic Publishing Jun 2022, 2022

620497954X / 9786204979540

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This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch.…

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Title
Modified Frequent Pattern Tree for Mining Negative Association Rules
Author
Eppakayala Balakrishna
Publisher
LAP LAMBERT Academic Publishing Jun 2022
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
620497954X
ISBN 13
9786204979540
Item weight
203 grams
Dimensions
220x150x8 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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