Data Mining Using Association Rules with Fuzzy Logic

Language: English

Published by Scholars' Press Apr 2018, 2018

6202308702 / 9786202308700

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This item is printed on demand - Print on Demand Titel. Neuware -Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. It is used to automatically extract structured knowledge from large datasets. The application of fuzzy logic with data mining makes information more understandable to human.Data mining can have many methods like association rules, classification, clustering. One of the methods of implementing association rules is Apriori algorithm. In this book, A Fuzzy Apriori System is built; it uses Apriori algorithm alone, then Apriori algorithm with the application of fuzzy logic to find association rules. It will find the relationships among items stored in a supermarket to present knowledge about the relations among items sold in the supermarket. From the experimental results, it was found that fuzzy functions filters the results and make number of extracted rules less than the number of rules extracted by applying Apriori algorithm only. And this reduction depends on the nature of the processed dataset.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.…

Seller Inventory # 9786202308700

Title
Data Mining Using Association Rules with Fuzzy Logic
Author
Amany Mohammad Abood
Publisher
Scholars' Press Apr 2018
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6202308702
ISBN 13
9786202308700
Item weight
149 grams
Dimensions
220x150x6 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

5-star seller

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