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Data mining algorithms in C++ : data patterns and algorithms for modern applications /
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++. Furtherm...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Berkeley, CA] :
Apress,
[2018]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Masters, Timothy, |e author. | |
| 245 | 1 | 0 | |a Data mining algorithms in C++ : |b data patterns and algorithms for modern applications / |c Timothy Masters. |
| 264 | 1 | |a [Berkeley, CA] : |b Apress, |c [2018] | |
| 264 | 4 | |c ©2018 | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |b PDF | ||
| 347 | |a text file | ||
| 500 | |a Includes index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed January 3, 2018). | |
| 505 | 0 | |a 1. Information and Entropy -- 2. Screening for Relationships -- 3. Displaying Relationship Anomalies -- 4. Fun With Eigenvectors -- 5. Using the DATAMINE Program. | |
| 520 | |6 880-01 |a 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, 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. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Computer algorithms. | |
| 650 | 0 | |a C++ (Computer program language) | |
| 650 | 2 | |a Data Mining | |
| 650 | 2 | |a Algorithms | |
| 650 | 1 | 4 | |a Computer Science. |
| 650 | 2 | 4 | |a Programming Languages, Compilers, Interpreters. |
| 650 | 2 | 4 | |a Big Data. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 650 | 2 | 4 | |a Programming Techniques. |
| 650 | 2 | 4 | |a Algorithms. |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 6 | |a C++ (Langage de programmation) | |
| 650 | 7 | |a algorithms. |2 aat | |
| 650 | 7 | |a Databases. |2 bicssc | |
| 650 | 7 | |a Data mining. |2 bicssc | |
| 650 | 7 | |a Computer programming |x software development. |2 bicssc | |
| 650 | 7 | |a Numerical analysis. |2 bicssc | |
| 650 | 7 | |a Programming & scripting languages: general. |2 bicssc | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a C++ (Computer program language) |2 fast | |
| 650 | 7 | |a Computer algorithms |2 fast | |
| 650 | 7 | |a Data mining |2 fast | |
| 776 | 0 | 8 | |i Printed edition: |z 9781484233146 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781484233153/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 880 | |6 520-01/Hani |a 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, 䡴ta Mining Algorithms in C++鮣ludes 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. ٯu 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#xE000. | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL5202713 | ||
| 938 | |a EBSCOhost |b EBSC |n 1663386 | ||
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