LEADER 03291nam  22004935  450 
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010   $a3-319-73040-1
024 7 $a10.1007/978-3-319-73040-0
035   $a(CKB)4100000001794713
035   $a(DE-He213)978-3-319-73040-0
035   $a(MiAaPQ)EBC5231082
035   $a(PPN)223956317
035   $a(EXLCZ)994100000001794713
100   $a20180118d2018      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aVisual Knowledge Discovery and Machine Learning /$fby Boris Kovalerchuk
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (XXI, 317 p. 274 illus., 263 illus. in color.) 
225 1 $aIntelligent Systems Reference Library,$x1868-4394 ;$v144
311   $a3-319-73039-8 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aMotivation, Problems and Approach -- General Line Coordinates (GLC) -- Theoretical and Mathematical Basis of GLC -- Adjustable GLCs for decreasing occlusion and pattern simplification -- GLC Case Studies -- Discovering visual features and shape perception capabilities in GLC -- Interactive Visual Classification, Clustering and Dimension Reduction with GLC-L -- Knowledge Discovery and Machine Learning for Investment Strategy with CPC.
330   $aThis book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.
410  0$aIntelligent Systems Reference Library,$x1868-4394 ;$v144
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
676   $a006.3
700   $aKovalerchuk$b Boris$4aut$4http://id.loc.gov/vocabulary/relators/aut$0846538
906   $aBOOK
912   $a9910299577103321
996   $aVisual Knowledge Discovery and Machine Learning$92542748
997   $aUNINA