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* This class implements Parallel FP-growth algorithm to do frequent pattern matching on input data.
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* Parallel FPGrowth (PFP) partitions computation in such a way that each machine executes an
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* independent group of mining tasks. More detail of this algorithm can be found at
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* [[http://dx.doi.org/10.1145/1454008.1454027, PFP]], and the original FP-growth paper can be found at
* [[http://dx.doi.org/10.1145/1454008.1454027, PFP]], and the original FP-growth paper can be
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* found at [[http://dx.doi.org/10.1145/335191.335372, FP-growth]]
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*
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* @paramminSupport the minimal support level of the frequent pattern, any pattern appears more than
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* (minSupport * size-of-the-dataset) times will be output
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* @paramminSupport the minimal support level of the frequent pattern, any pattern appears
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* more than (minSupport * size-of-the-dataset) times will be output
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