Approach for mining of association rules where the data is large and distributed i problem statement association rule mining is one of the most important data mining tools used in many real life applications, in this paper, we will discuss the problem of computing association rules within a horizontally partitioned database. Literature review on data mining research chapter 2 literature review on data mining research a literature survey on the research and developments in the data mining domain is given in this chapter the chapter is organised as individual sections for each of the popular data mining models and respective literature is given in each section.
Associate ion rules that hold globally, while limiting the information shared about each site to preserve the privacy of data in each site association rule mining: association rule mining is used to find interesting associations and/or correlation relationships among large sets of data items [1. Literature review on secure mining of association rules in horizontally distributed databases - free download as pdf file (pdf), text file (txt) or read online for free data and knowledge engineering is one of the area under data mining. Horizontally distributed data this paper presents different methods for secure mining of association rules in horizontally distributed databases the main aim of this paper is protocol for secure mining of association rules in horizontally distributed databases the current main protocol is that of kantarcioglu and clifton.
This review of literature focuses on how data mining techniques are used for different application areas for finding out meaningful pattern from the database keywords: association rules, rule induction technique, apriori algorithm, neural network, decision tree.
Data mining go hand in hand: most tools operate by gathering all data into a central site, then running an algorithm against that data this paper addresses the problem of computing association rules within such a scenario here there is problem of secure mining of association rules in distributed databases.
This is followed by the literature review of different data structures used and algorithms used this section is followed by mining the association rules from frequent itemsets lastly, we propose an approach for mining of association rules where the data is large and. Association rule mining is an essential component of data mining basic objective of finding association rules is to find all co-occurrence relationship called associations most of the research efforts in the scope of association rules have been oriented to simplify the rule set and to improve performance of algorithm. Sensitive association rules without pre-mining and selection of hidden rules in  two algorithms dcis decrease confidence by increase support and dcds decrease confidence by decrease support are proposed to automatically hide collaborative recommendation association rules without pre-mining and selection of hidden rules.