Bookcover of Modified Frequent Pattern Tree for Mining Negative Association Rules
Booktitle:

Modified Frequent Pattern Tree for Mining Negative Association Rules

A Data Mining Techniques for Market Basket Analysis

LAP LAMBERT Academic Publishing (2022-06-17 )

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ISBN-13:

978-620-4-97954-0

ISBN-10:
620497954X
EAN:
9786204979540
Book language:
English
Blurb/Shorttext:
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.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
http://www.lap-publishing.com/
By (author) :
Eppakayala Balakrishna, Nadendla Satyavathi, B. Rama
Number of pages:
124
Published on:
2022-06-17
Stock:
Available
Category:
Informatics, IT
Price:
8564.98 руб
Keywords:
Data Mining, Association Rule Mining, Negative Association Rule Mining, frequent item sets

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