System for document clustering from mixed sources based on fuzzy ART neural network

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Title	System for document clustering from mixed sources based on fuzzy ART neural network
Author	Rojček Michal
Co-authors	Mokriš Igor SAVINFO - Ústav informatiky SAV ^SCOPUS ^RID

Source document	/ Szakál Anikó IEEE International Conference on System Science and Engineering : ICSSE 2013. P. 259-262. - Budapest : IEEE Advancing Technology for Humanity, 2013 ; 2013 IEEE International Conference on System Science and Engineering ICSSE 2013
Language	eng - English
Country	HU - Hungary
Document kind	rozpis článkov z periodík (rzb)
Citations	CHIEW, Fei Ha - NG, Chee Khoon - CHAI, Kok Chin - TAY, Kai Meng. A Fuzzy Adaptive Resonance Theory-Based Model for Mix Proportion Estimation of High-Performance Concrete. In COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING. ISSN 1093-9687, 2017, vol. 32, no. 9, pp. 772-786.
Category	ADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus
Category of document (from 2022)	V3 - Vedecký výstup publikačnej činnosti z časopisu
Type of document	článok
Year	2013
Registered in	WOS
Registered in	SCOPUS
DOI	10.1109/ICSSE.2013.6614670

article

rok	CC	IF	IF Q (best)	JCR Av Jour IF Perc	SJR	SJR Q (best)	CiteScore
	N

rok vydania	rok metriky	IF	IF Q (best)	SJR	SJR Q (best)
2013

Number of the records: 1