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Then an algorithm is presented in order to mine the risk-related regularities table (RRT) from the frequent patterns.
Several applications are interested in extracting not all the frequent patterns, but only those that comply with a number of restrictions.
Specifically, an Apriori-like algorithm is used to find the frequent patterns from the event log, and association rules are generated according to predefined resource allocation constraints.
The number of expandable patterns enumerated by the equivalence class expansion process can still be very large, particularly when the frequent patterns to find have both a high depth and a high branching factor.
By using set inclusion/exclusion operations, we refined the frequent patterns as topics and further recorded their temporal frequency, across a number of years, to characterize temporal evolution of each topic.
This can be achieved by bringing each cipher item to the same level of support, e.g., to the support of the most frequent item in D. This option would lead to a dramatic explosion of the frequent patterns making pattern mining at the server side computationally prohibitive.
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It was a stark reversal of the frequent pattern nationally of judges' reducing large jury awards.
Among them, the map-reduce solution was used for the studies [117 119] to enhance the performance of the frequent pattern mining algorithm.
As our experiments show, the cost of this post-processing step is in general not significant compared to the frequent pattern mining cost.
This study presents an adaptive mechanism to select suitable data structures depending on database densities: the Frequent Pattern List (FPL) for sparse databases, and the Transaction Pattern List (TPL) for dense databases.
For example, genetic algorithm, one of the machine learning algorithms, can not only be used to solve the clustering problem [25], it can also be used to solve the frequent pattern mining problem [33].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com