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نمایش تعداد 1-10 از 88
A new tree-based approach for evaluating rule antecedent constraint in confabulation based association rule mining
سال: 2015
خلاصه:
Confabulation-based Association Rule Mining (CARM) is an algorithm that is inspired by the thought process of human brain. It is an iterative method where, in each iteration, new rules are generated using a measure of cogency and constraints...
Modelling of modular multilevel converter topology with voltage correcting modules
ناشر: IEEE
سال: 2014
Advantages of GaN in a high-voltage resonant LLC converter
ناشر: IEEE
سال: 2014
Confabulation Inspired Association Rule Mining for Rare and Frequent Itemsets
سال: 2014
خلاصه:
A new confabulation-inspired association rule mining (CARM) algorithm is proposed using an interestingness measure inspired by cogency. Cogency is only computed based on pairwise item conditional probability, so the proposed algorithm mines...
Modeling electrical networks with Object Oriented data structures for smart control
ناشر: IEEE
سال: 2014
Notch filter and MPC for powered wheelchair operation under Parkinson's tremor
ناشر: IEEE
سال: 2014