Aug 6, 1999 · Newer and newer parallel architectures being developed raise a strong demand for high-level and programmer-friendly parallel tools.
Mining of Association Rules in Very Large Databases: A Structured Parallel Approach · Primo Becuzzi, M. Coppola, M. Vanneschi · Published in European Conference ...
The main goals achieved are the low effort spent in parallelizing the code, the machine independence of the application produced, source code portability and ...
We show some results regarding mining of association rules, a well-known Data Mining algorithm, which we ported from sequential to parallel within the PQE2000/ ...
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How are association rules mined from large databases?
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This work considers the problem of mining association rules on a shared nothing multiprocessor and presents three algorithms that explore a spectrum of ...
Mining of Association rules in large database is the challenging task. An Apriori algorithm is widely used to find out the frequent item sets from database. But ...
Association rule mining is the mostly used method in Association Knowledge Discovery which aim is to find out the hidden information. The most famous is the ...
Association rule mining is a data mining technique used to uncover previously unknown hidden patterns or rules from huge databases usually tera and peta bytes ...
To improve efficiency, association rules can be mined in parallel. In this paper, we use a simpler data structure called bit string array and propose a new ...
Association rule mining is a very popular data mining technique and it finds relationships among the different data in datasets. Frequent itemsets are a set ...