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The association rule is a powerful data mining technique for discovering a correlation between variables in the database.
Although there exist some modernization works in the literature that cover all modernization stages [4, 11, 12], none of them detail a mining technique for KDM.
For instance, a concern mining technique for KDM can be used for mining concerns in systems that are implemented in different languages.
Also for scientific workflows, [33] proposes a recommendation service that uses sequence mining, a data mining technique for finding frequent sequential events in a dataset.
The TUBE algorithm introduces a new data mining technique for trend detection and cleaning data over time series, which can be easily adapted to any other problem domain.
In this paper we use soft computing-based data mining technique for extraction of control rules for effective and fast battery charging process.
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We propose a new approach that consists in using data mining techniques for scientific computing.
Eskandari et al. [3] propose to use program graph mining techniques for detecting polymorphic malware.
The third section discusses how to use data mining techniques for selecting the most relevant variables.
There are only two mining techniques for recovering coal from the earth; underground mining and surface mining.
In this paper, we used data mining techniques for the automatic discovering of useful temporal abstraction in reinforcement learning.
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