LEADER 03408nam  22005415  450 
001 9910483855703321
005 20200701025319.0
010   $a3-030-14298-1
024 7 $a10.1007/978-3-030-14298-8
035   $a(CKB)4100000007816273
035   $a(MiAaPQ)EBC5738771
035   $a(DE-He213)978-3-030-14298-8
035   $a(PPN)243767587
035   $a(EXLCZ)994100000007816273
100   $a20190320d2020      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBig Data: Conceptual Analysis and Applications$b[electronic resource] /$fby Michael Z. Zgurovsky, Yuriy P. Zaychenko
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (298 pages)
225 1 $aStudies in Big Data,$x2197-6503 ;$v58
311   $a3-030-14297-3 
327   $aCluster Analysis in Big Data Mining -- Deep Neural Networks and Hybrid GMDH ? Neuro-fuzzy Networks in Big Data Analysis -- Pattern Recognition in Big Data Analysis -- Intellectual analysis of systemic world conflicts and global forecast for the 21st century. .
330   $aThe book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different nature that generate this data. To solve these problems, a group of new methods and tools is used, based on the self-organization of computational processes, the use of crisp and fuzzy cluster analysis methods, hybrid neural-fuzzy networks, and others. The book solves various practical problems. In particular, for the tasks of 3D image recognition and automatic speech recognition large-scale neural networks with applications for Deep Learning systems were used. Application of hybrid neuro-fuzzy networks for analyzing stock markets was presented. The analysis of big historical, economic and physical data revealed the hidden Fibonacci pattern about the course of systemic world conflicts and their connection with the Kondratieff big economic cycles and the Schwabe?Wolf solar activity cycles. The book is useful for system analysts and practitioners working with complex systems in various spheres of human activity. .
410  0$aStudies in Big Data,$x2197-6503 ;$v58
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aBig data
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aBig data.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aBig Data.
676   $a005.7
700   $aZgurovsky$b Michael Z$4aut$4http://id.loc.gov/vocabulary/relators/aut$0942563
702   $aZaychenko$b Yuriy P$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910483855703321
996   $aBig Data: Conceptual Analysis and Applications$92597580
997   $aUNINA