Amany Mohammad Abood, Maysam Sameer Hussein, Juan Hassan Namdar

Data Mining Using Association Rules with Fuzzy Logic

• Broschiertes Buch

Produktbeschreibung

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 thenature of the processed dataset.

Produktdetails

• Verlag: Scholar's Press
• Seitenzahl: 88
• Erscheinungstermin: 6. April 2018
• Englisch
• Abmessung: 220mm x 150mm x 6mm
• Gewicht: 149g
• ISBN-13: 9786202308700
• ISBN-10: 6202308702
• Artikelnr.: 52507694

Autorenporträt

Assistant Lecturer Amany M. Abood (MSc in computer science) worked in academic field for nine years. Amany, Assistant Lecturer Maysam S. Hussein (MSc in in computer engineering) and Juan Hassan (BSc in communication engineering) are faculty members at the Computer Engineering Techniques Department, in Al-Isräa University College, Baghdad, Iraq.