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Association rule mining using weighted frequent itemset plays the vital role to determine the association and correlation among the items having different weights. These weights associated with the items signifies its importance in the transaction which is based on different criteria like rating, popularity etc. The weighted frequent itemset mining in the distributed environment is one of the most...
Considering the cost, safety and competitive of data migration, a distributed association rule mining algorithm based on matrix named DARMO is put forward for some special distributed applications. This algorithm has some characteristics such as high degree of parallelism, fewer database scanning, less communication overhead and low complexity. The correctness of the algorithm is proved theoretically...
The aim of this paper is to extract knowledge using predictive apriori and distributed grid based apriori algorithms for association rule mining. The paper presents the implementation of an association rules discovery data mining task using Grid technologies. A result of implementation with a comparison of classic apriori and distributed apriori is also discussed. Distributed data mining systems provide...
Data mining is the process of extracting hidden information from the database. Data mining is emerging as one of the key features of many business organizations. The current trend in business collaboration shares the data and mined results to gain mutual benefit. The problem of privacy-preserving data mining has become more important in recent years because of the increasing ability to store personal...
It has been a significant research subject that how to extract valuable knowledge in data and to preserve private or sensitive information in data mining process from leaking. By comparing and analyzing privacy-preserving data mining algorithm, the paper has established the classification frame of privacy-preserving algorithm, found the opening of present privacy-preserving technology study and meanwhile...
For the complex data of multilevel and large volume distributed in different regions, how to seek and find both be interested and useful information is what scientists are devoted to. Existing efficient method of research is an association rule mining of distributed database system. This paper introduced the distributed association rule mining algorithm. By analyzing the Aproiri algorithm, we have...
Dynamic generating algorithms of association rules mined large itemsets are presented in this paper. According to the distributive data mining calculation architecture, database is replaced by an order set enumerate tree, and the information of all transactions are kept in the dynamic generating trees. Meantime, the generating enumerate trees flowing a local node of transaction orderly is ensured...
Association rules mining is one of the most important and fundamental problems in data mining. Recently, in need of security, more and more people are studying privacy- preserving association rules mining in distributed database. This paper addresses a secure mining algorithm of association rules, which builds a globe hash table to prune item-sets and incorporate cryptographic techniques to minimize...
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