Multitask-based association rule mining

Data sanitization in association rule mining based on impact factor

Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...

Constraint-Based Association Rule Mining

data sanitization in association rule mining based on impact factor

data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. it transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...

Association Rule Mining Based On Trade List

In this paper a new mining algorithm is defined based on frequent item set. Apriori Algorithm scans the database every time when it finds the frequent item set so it is very time consuming and at each step it generates candidate item set. So for large databases it takes lots of space to store candidate item set .In undirected item set graph, it is improvement on apriori but it takes time and sp...

Robust Recommendation Based On Association Rule Mining

The open nature of collaborative recommender systems present a security problem. Attackers that are indistinguishable from ordinary users may inject biased profiles, degrading the objectivity and accuracy of the system over time. Standard memory-based collaborative filtering algorithms, such as k-nearest neighbor, have been shown quite vulnerable to such attacks. Model-based techniques, includi...