‪navid sheydaei‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	47	25
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20152016201720182019202020212022202320246 4 8 4 11 4 5 2 1 2

Co-authors

Azar ShahgholianSenior Lecturer in Digital MarketingVerified email at ljmu.ac.uk
Professor Mo SaraeeChair in Data Science, Head of Computer Science & Software Engineering Dept, University of SalfordVerified email at salford.ac.uk
Reza RamezaniAssistant Professor at University of IsfahanVerified email at eng.ui.ac.ir

navid sheydaei

navid sheydaei

Senior front-end developer at Prometheus Group

Verified email at isc.co.ir

Block chain Web Security Data Mining Web application


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A novel feature selection method for text classification using association rules and clustering N Sheydaei, M Saraee, A Shahgholian Journal of Information Science 41 (1), 3-15, 2015	29	2015
Evaluating the effects of textual features on authorship attribution accuracy R Ramezani, N Sheydaei, M Kahani ICCKE 2013, 108-113, 2013	18	2013

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