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عنوان: Data Mining Algorithms in C++
عنوان دیگر: Data Patterns and Algorithms for Modern Applications /
پدیدآورنده: Masters, Timothy. ;
کلید واژه ها: Computer Science;Computer Programming;Programming Languages and Electronic Computers;Data Mining;Algorithms;Computer Science;Programming Languages and Compilers and Interpreters;Big Data. ;;Data Mining and Knowledge Discovery;Programming Techniques;Algorithms;005.13 ; 23 ;;QA76.76.C65 ;
تاریخ انتشار: 2018
محل نشر: Berkeley, CA :
ناشر: Apress :
Imprint: Apress,
چکیده: Find 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. ;
توضیحات : 
Printed edition: ; 9781484233146. ;
SpringerLink (Online service) ;



آدرس: http://localhost/handle/Hannan/720
شابک : 9781484233153 ;
9781484233146 (print) ;
اطلاعات بیشتر: XIV, 286 p. 26 illus., 8 illus. in color. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9781484233146.pdf3.74 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Data Mining Algorithms in C++
عنوان دیگر: Data Patterns and Algorithms for Modern Applications /
پدیدآورنده: Masters, Timothy. ;
کلید واژه ها: Computer Science;Computer Programming;Programming Languages and Electronic Computers;Data Mining;Algorithms;Computer Science;Programming Languages and Compilers and Interpreters;Big Data. ;;Data Mining and Knowledge Discovery;Programming Techniques;Algorithms;005.13 ; 23 ;;QA76.76.C65 ;
تاریخ انتشار: 2018
محل نشر: Berkeley, CA :
ناشر: Apress :
Imprint: Apress,
چکیده: Find 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. ;
توضیحات : 
Printed edition: ; 9781484233146. ;
SpringerLink (Online service) ;



آدرس: http://localhost/handle/Hannan/720
شابک : 9781484233153 ;
9781484233146 (print) ;
اطلاعات بیشتر: XIV, 286 p. 26 illus., 8 illus. in color. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9781484233146.pdf3.74 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Data Mining Algorithms in C++
عنوان دیگر: Data Patterns and Algorithms for Modern Applications /
پدیدآورنده: Masters, Timothy. ;
کلید واژه ها: Computer Science;Computer Programming;Programming Languages and Electronic Computers;Data Mining;Algorithms;Computer Science;Programming Languages and Compilers and Interpreters;Big Data. ;;Data Mining and Knowledge Discovery;Programming Techniques;Algorithms;005.13 ; 23 ;;QA76.76.C65 ;
تاریخ انتشار: 2018
محل نشر: Berkeley, CA :
ناشر: Apress :
Imprint: Apress,
چکیده: Find 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. ;
توضیحات : 
Printed edition: ; 9781484233146. ;
SpringerLink (Online service) ;



آدرس: http://localhost/handle/Hannan/720
شابک : 9781484233153 ;
9781484233146 (print) ;
اطلاعات بیشتر: XIV, 286 p. 26 illus., 8 illus. in color. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9781484233146.pdf3.74 MBAdobe PDFتصویر
مشاهده فایل