Association Rule mining is very efficient technique for finding strong relation between
correlated data. The correlation of data gives meaning full extraction process. For the mining …

Association rule mining play important rule in market data analysis and also in medical
diagnosis of correlated problem. For the generation of association rule mining various …

Distributed data mining of association rules is an area of data mining which intends to find
association rules over items geographically across the network. Several researches have …

Background: Association rule mining plays a vital role in predicting the attacks and
generating the firewall rules automatically. Data mining techniques discover the knowledge …

Rule mining is very efficient technique for find relation of correlated data. The correlation of
data gives meaning full extraction process. For the mining of rule mining a variety of …

It is necessary to combine different technologies for implementing high performance
distributed knowledge discovery systems. We think grids can offer an effective support to the …

Negative and positive association rule mining is extract needful information for large
database. The generation of negative and positive rule based on interesting pattern and non …

Confabulation-based Association Rule Mining (CARM) is an algorithm that is inspired by the
thought process of human brain. It is an iterative method where, in each iteration, new rules …

Apriori algorithm is the classical algorithm used for association rule mining. This paper
presents out the overview of basic approaches used with the classical Apriori algorithm and …

Mining web data in order to extract useful knowledge from it has become vital with the wide
usage of the World Wide Web. Web Usage Mining is the application of data mining …