Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
A tree projection algorithm for generation of frequent item sets
Journal of Parallel and Distributed Computing - Special issue on high-performance data mining
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
A generalized parallel algorithm for frequent itemset mining
ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers
Performance comparison of apriori and FP-growth algorithms in generating association rules
ECC'11 Proceedings of the 5th European conference on European computing conference
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The aim of the present paper is to contribute to the existing pool of studies in the field of information technology, at international level, and to integrate these into economic applications. Integrating and using data mining techniques in economy opens new perspectives regarding real-time data manipulation between all decisions factors from companies, achieving new advantages for current companies also on global level, obtaining a superior economical efficiency of all production items involved in the process.