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This paper first introduces the basic concepts of association rules mining and Apriori algorithm. It also provides a parallel association rules model scheme for ...
It also provides a parallel association rules model scheme for improving the mining efficiency when treating large numbers of data sets as well as the analyse ...
This paper first introduces the basic concepts of association rules mining and Apriori algorithm. It also provides a parallel association rules model scheme for ...
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Parallelism of Association Rules Mining and Its Application in Insurance Operations. Lecture Notes in Computer Science - Germany.
Association rules mining is a basic method in data mining.This paper first introduces the basic concepts of association rules mining and Apriori algorithm. It ...
Decision support systems are important in leveraging information present in data warehouses in businesses like banking, insurance, retail and health care.
Therefore, the proposed method is consisted of two components: (1) clustering analysis and (2) association rules mining. The first stage employs the ant system- ...
Missing: Parallelism Operations.
We introduce the problem of mining generalized association rules. Given a large database of transactions, where each transaction consists of a set of items, ...
Apr 26, 2024 · First, association rule mining is used to extract frequent rules from the transactions based on patient, service and service provider features.
Feb 9, 2022 · In this research, a parallelization-based approach is proposed to improve the performance of the Apriori algorithm in repetitive mining patterns ...