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dc.contributor.authorMasters, Timothy. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:21:16Z-
dc.date.available2020-05-17T08:21:16Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484233153 ;en_US
dc.identifier.isbn9781484233146 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/720-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484233146. ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractFind 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,eData Mining Algorithms in C++eincludes 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. e 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 programe. ;en_US
dc.description.statementofresponsibilityby Timothy Masters.en_US
dc.description.tableofcontents1. Information and Entropy -- 2. Screening for Relationships -- 3. Displaying Relationship Anomalies -- 4. Fun With Eigenvectors -- 5. Using the DATAMINE Program. ;en_US
dc.format.extentXIV, 286 p. 26 illus., 8 illus. in color. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484233146.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Programmingen_US
dc.subjectProgramming Languages and Electronic Computersen_US
dc.subjectData Miningen_US
dc.subjectAlgorithmsen_US
dc.subjectComputer Scienceen_US
dc.subjectProgramming Languages and Compilers and Interpretersen_US
dc.subjectBig Data. ;en_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.subjectProgramming Techniquesen_US
dc.subjectAlgorithmsen_US
dc.subject.ddc005.13 ; 23 ;en_US
dc.subject.lccQA76.76.C65 ;en_US
dc.titleData Mining Algorithms in C++en_US
dc.title.alternativeData Patterns and Algorithms for Modern Applications /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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Full metadata record
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dc.contributor.authorMasters, Timothy. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:21:16Z-
dc.date.available2020-05-17T08:21:16Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484233153 ;en_US
dc.identifier.isbn9781484233146 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/720-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484233146. ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractFind 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,eData Mining Algorithms in C++eincludes 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. e 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 programe. ;en_US
dc.description.statementofresponsibilityby Timothy Masters.en_US
dc.description.tableofcontents1. Information and Entropy -- 2. Screening for Relationships -- 3. Displaying Relationship Anomalies -- 4. Fun With Eigenvectors -- 5. Using the DATAMINE Program. ;en_US
dc.format.extentXIV, 286 p. 26 illus., 8 illus. in color. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484233146.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Programmingen_US
dc.subjectProgramming Languages and Electronic Computersen_US
dc.subjectData Miningen_US
dc.subjectAlgorithmsen_US
dc.subjectComputer Scienceen_US
dc.subjectProgramming Languages and Compilers and Interpretersen_US
dc.subjectBig Data. ;en_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.subjectProgramming Techniquesen_US
dc.subjectAlgorithmsen_US
dc.subject.ddc005.13 ; 23 ;en_US
dc.subject.lccQA76.76.C65 ;en_US
dc.titleData Mining Algorithms in C++en_US
dc.title.alternativeData Patterns and Algorithms for Modern Applications /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484233146.pdf3.74 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMasters, Timothy. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:21:16Z-
dc.date.available2020-05-17T08:21:16Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484233153 ;en_US
dc.identifier.isbn9781484233146 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/720-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484233146. ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractFind 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,eData Mining Algorithms in C++eincludes 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. e 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 programe. ;en_US
dc.description.statementofresponsibilityby Timothy Masters.en_US
dc.description.tableofcontents1. Information and Entropy -- 2. Screening for Relationships -- 3. Displaying Relationship Anomalies -- 4. Fun With Eigenvectors -- 5. Using the DATAMINE Program. ;en_US
dc.format.extentXIV, 286 p. 26 illus., 8 illus. in color. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484233146.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Programmingen_US
dc.subjectProgramming Languages and Electronic Computersen_US
dc.subjectData Miningen_US
dc.subjectAlgorithmsen_US
dc.subjectComputer Scienceen_US
dc.subjectProgramming Languages and Compilers and Interpretersen_US
dc.subjectBig Data. ;en_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.subjectProgramming Techniquesen_US
dc.subjectAlgorithmsen_US
dc.subject.ddc005.13 ; 23 ;en_US
dc.subject.lccQA76.76.C65 ;en_US
dc.titleData Mining Algorithms in C++en_US
dc.title.alternativeData Patterns and Algorithms for Modern Applications /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484233146.pdf3.74 MBAdobe PDFThumbnail
Preview File