Statistical evaluation of synchronous spike patterns extracted by frequent item set mining
نویسندگان
چکیده
منابع مشابه
Statistical evaluation of synchronous spike patterns extracted by frequent item set mining
We recently proposed frequent itemset mining (FIM) as a method to perform an optimized search for patterns of synchronous spikes (item sets) in massively parallel spike trains. This search outputs the occurrence count (support) of individual patterns that are not trivially explained by the counts of any superset (closed frequent item sets). The number of patterns found by FIM makes direct stati...
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Frequent item sets mining plays an important role in association rules mining. Over the years, a variety of algorithms for finding frequent item sets in very large transaction databases have been developed. The main focus of this paper is to analyze the implementations of the Frequent item set Mining algorithms such as SMine and Apriori Algorithms. General Terms-Data Mining, Frequent Item sets,...
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ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2013
ISSN: 1662-5188
DOI: 10.3389/fncom.2013.00132