Data Mining Using Association Rules with Fuzzy Logic

Mohammad Abood, Amany/ Sameer Hussein, Maysam/ Hassan Namdar, Juan

ISBN 10: 6202308702 / ISBN 13: 9786202308700

Published by Scholars' Press, 2018

About this Item

88 pages. 8.66x5.91x0.20 inches. In Stock.

Seller Inventory # zk6202308702

Bibliographic Details

• Title: Data Mining Using Association Rules with Fuzzy Logic
• Publisher: Scholars' Press
• Publication Date: 2018
• Language: English
• ISBN 10: 6202308702
• ISBN 13: 9786202308700
• Binding: Paperback
• Condition: Brand New
• Weight: 0.18 kilograms

About this title

Synopsis

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.