eBook

Masters

Data Mining Algorithms in C++

Data Patterns and Algorithms for Modern Applications

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eBook. PDF

eBook

2017

286 S. XIV, 286 p..

In englischer Sprache

Apress. ISBN 978-1-4842-3315-3

Produktbeschreibung

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