Clustering is a web mining technique, which is a demanding field of research in which its latent applications create their own special requirements. Clustering is a method of grouping similar data into data sets, called clusters. Cluster analysis is a primary technique in conventional data analysis and many clustering methods have been recognized which requires number of clusters to be precise ...

Today multilevel association rule mining is an emerging field in data mining. Its main goal is to find hidden information in or between levels of abstraction. It is mainly used for decision making for large data. It focuses on the customer relationship management. Apriori algorithm is mainly used for the multilevel association rule mining. Producing large number of candidate item sets and multi...

This study adapted an improved algorithm based on Artifical Bee Colony Optimization. It is not possible to justify that all the rules generated by fuzzy based apriori algorithm produce optimum result. Thus optimization of the result generated was carried out by Fuzzy Apriori algorithm using Fuzzy Artifical Bee Colony Optimization (FABCO), it's worth noting that a significant findings were revea...

Many algorithms are designed to analyse volumes of data automatically in an efficient way so that the users don’t have to look through that massive amount of data manually for generating various association rules among them. Apriori algorithm, which is the most famous and frequently used data mining algorithm. Our main focus is to parallelize the Apriori algorithm in such a new way that when we...

Competition in the food sales industry is growing, making business owners have to be creative increase turnover. Sales activities that occur every day make data increase. Researchers intend on Traditional Restaurant as basis for mining processing using apriori algorithm. The application of Apriori Algorithm aims find most item combinations based transaction and then form association patterns fr...