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010   $a1-4842-3315-8
024 7 $a10.1007/978-1-4842-3315-3
035   $a(CKB)4100000001382198
035   $a(DE-He213)978-1-4842-3315-3
035   $a(MiAaPQ)EBC5202713
035   $a(CaSebORM)9781484233153
035   $a(PPN)222231343
035   $a(OCoLC)1020493916
035   $a(OCoLC)on1020493916
035   $a(EXLCZ)994100000001382198
100   $a20171218d2018      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aData Mining Algorithms in C++ $eData Patterns and Algorithms for Modern Applications /$fby Timothy Masters
205   $a1st ed. 2018.
210  1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2018.
215   $a1 online resource (XIV, 286 p. 26 illus., 8 illus. in color.)
300   $aIncludes index.
311   $a1-4842-3314-X 
327   $a1. Information and Entropy -- 2. Screening for Relationships -- 3. Displaying Relationship Anomalies -- 4. Fun With Eigenvectors -- 5. Using the DATAMINE Program.
330   $aFind the various relationships among variables that can be present in big data as well as other data sets. This book also covers information entropy, permutation tests, combinatorics, predictor selections, and eigenvalues to give you a well-rounded view of data mining and algorithms in C++. Furthermore, Data Mining Algorithms in C++ includes classic techniques that are widely available in standard statistical packages, such as maximum likelihood factor analysis and varimax rotation. After reading and using this book, you'll come away with many code samples and routines that can be repurposed into your own data mining tools and algorithms toolbox. This will allow you to integrate these techniques in your various data and analysis projects. You will: Discover useful data mining techniques and algorithms using the C++ programming language Carry out permutation tests Work with the various relationships and screening types for these relationships Master predictor selections Use the DATAMINE program .
517 3 $aData patterns and algorithms for modern applications
606   $aProgramming languages (Electronic computers)
606   $aBig data
606   $aData mining
606   $aComputer programming
606   $aAlgorithms
606   $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037
606   $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010
606   $aAlgorithms$3https://scigraph.springernature.com/ontologies/product-market-codes/M14018
615  0$aProgramming languages (Electronic computers).
615  0$aBig data.
615  0$aData mining.
615  0$aComputer programming.
615  0$aAlgorithms.
615 14$aProgramming Languages, Compilers, Interpreters.
615 24$aBig Data.
615 24$aData Mining and Knowledge Discovery.
615 24$aProgramming Techniques.
615 24$aAlgorithms.
676   $a005.13
700   $aMasters$b Timothy$4aut$4http://id.loc.gov/vocabulary/relators/aut$0105163
801  0$bUMI
801  1$bUMI
906   $aBOOK
912   $a9910300754403321
996   $aData Mining Algorithms in C++$92544280
997   $aUNINA