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Process mining algorithms produce process models by analyzing recorded event logs.
Data mining algorithms produce genome-wide association sets where individual associations are described with either a numerical ranking or weight.
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In data mining field, the extraction algorithms produce a large number of association rules that not allow the decision makers to make their own choice of the most interesting rules.
In the data mining field, the association rule algorithms produce Pγ,a large number of extracted rules that do not allow an expert to make their own selection of the most interesting.
Given the discretized version of a TCGx dataset, we develop an efficient mining algorithm to produce all closed subsequential patterns.
Standard TD algorithms produce this result.
As the paths support does not change to all databases derived from database 3, the mining algorithm always produces the same pattern paths.
Mujalli et al. [19] investigated that data mining algorithms tend to produce lower prediction accuracy over the minority class in an imbalanced dataset.
Algorithms producing journalism?
J48 and Naive Bayes are both popular data mining algorithms that have the advantage of producing a classification model in a format that can be interpreted by biologists.
Firstly, too many association rules can be produced by the conventional association rule mining algorithms, and secondly, some association rules can be partly overlapped.
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