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035   $a(DE-He213)978-3-319-94030-4
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035   $a(EXLCZ)993850000000034982
100   $a20180703d2019      u|         0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aMachine learning paradigms $eadvances in data analytics /$fedited by George A. Tsihrintzis, Dionisios N. Sotiropoulos, Lakhmi C. Jain
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (372 pages)
225 1 $aIntelligent Systems Reference Library,$x1868-4394 ;$v149
311   $a3-319-94029-5 
327   $aData Analytics in the Medical, Biological and Signal Sciences -- Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics -- Classification Methods in Image Analysis with a Special Focus on Medical Analytics -- Medical Data Mining for Heart Diseases and the Future of Sequential Mining in Medical Field -- Machine Learning Methods for the Protein Fold Recognition Problem. .
330   $aThis book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new, previously-unavailable opportunities. The need for data analytics arises in most modern scientific disciplines, including engineering; natural-, computer- and information sciences; economics; business; commerce; environment; healthcare; and life sciences. Coming as the third volume under the general title MACHINE LEARNING PARADIGMS, the book includes an editorial note (Chapter 1) and an additional 12 chapters, and is divided into five parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data Analytics in Traffic, Computer and Power Networks, (4) Data Analytics for Digital Forensics, and (5) Theoretical Advances and Tools for Data Analytics. This research book is intended for both experts/researchers in the field of data analytics, and readers working in the fields of artificial and computational intelligence as well as computer science in general who wish to learn more about the field of data analytics and its applications. An extensive list of bibliographic references at the end of each chapter guides readers to probe further into the application areas of interest to them.
410  0$aIntelligent Systems Reference Library,$x1868-4394 ;$v149
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aBig data
606   $aPattern recognition
606   $aData mining
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/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aBig data.
615  0$aPattern recognition.
615  0$aData mining.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aBig Data/Analytics.
615 24$aPattern Recognition.
615 24$aData Mining and Knowledge Discovery.
676   $a006.312
702   $aTsihrintzis$b George A$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aSotiropoulos$b Dionisios N$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aJain$b Lakhmi C$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910483037703321
996   $aMachine Learning Paradigms$91995437
997   $aUNINA