Detection of Neuronal Assemblies by Frequent Item Set Mining
نویسندگان
چکیده
منابع مشابه
Finding neural assemblies with frequent item set mining
Cell assemblies, defined as groups of neurons exhibiting precise spike coordination, were proposed as a model of network processing in the cortex. Fortunately, in recent years considerable progress has been made in multi-electrode recordings, which enable recording massively parallel spike trains of hundred(s) of neurons simultaneously. However, due to the challenges inherent in multivariate ap...
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Frequent item set mining is one of the best known and most popular data mining methods. Originally developed for market basket analysis, it is used nowadays for almost any task that requires discovering regularities between (nominal) variables. This paper provides an overview of the foundations of frequent item set mining, starting from a definition of the basic notions and the core task. It co...
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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 Neuroinformatics
سال: 2014
ISSN: 1662-5196
DOI: 10.3389/conf.fninf.2014.08.00067