Autor:	Omar Behadada
Rok vydání:	2015
Předmět:	Computer science business.industry Big data Decision tree Cardiac arrhythmia Pragmatics medicine.disease computer.software_genre Fuzzy logic Heart arrhythmia Knowledge extraction Scalability medicine Data mining business computer
Zdroj:	INCoS
DOI:	10.1109/incos.2015.50
Popis:	In this paper, we discuss a method to define semi-automatically fuzzy partition rules to provide a powerful and accurate insight into cardiac arrhythmia. As suggested by our evaluation, this provide a robust, scalable, and accurate system, which can successfully tackle the challenges posed by the utilization of big data in the medical sector.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::49bc5223b89c4094690c823c868aa845 https://doi.org/10.1109/incos.2015.50 Zobrazit plný text záznamu