Data Mining Using Association Rules with Fuzzy Logic

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.