Apress | Data Mining Algorithms In C++: Data Patterns And Algorithms For Modern Applications (2018 EN)

Author: Timothy Masters
Full Title: Data Mining Algorithms In C++: Data Patterns And Algorithms For Modern Applications
Publisher: Apress; 1st ed. edition (December 15, 2017)
Year: 2018
ISBN-13: 9781484233153 (978-1-4842-3315-3), (978-1-4842-3314-6)
ISBN-10: 1484233158, 148423314X
Pages: 286
Language: English
Genre: Educational: Programming
File type: EPUB (True), PDF (True), Code Files
Quality: 10/10
Price: 48.14 €


Discover hidden relationships among the variables in your data, and learn how to exploit these relationships. This book presents a collection of data-mining algorithms that are effective in a wide variety of prediction and classification applications. All algorithms include an intuitive explanation of operation, essential equations, references to more rigorous theory, and commented C++ source code.

Many of these techniques are recent developments, still not in widespread use. Others are standard algorithms given a fresh look. In every case, the focus is on practical applicability, with all code written in such a way that it can easily be included into any program. The Windows-based DATAMINE program lets you experiment with the techniques before incorporating them into your own work.


Learn:
✓ Use Monte-Carlo permutation tests to provide statistically sound assessments of relationships present in your data
✓ Discover how combinatorially symmetric cross validation reveals whether your model has true power or has just learned noise by overfitting the data
✓ Work with feature weighting as regularized energy-based learning to rank variables according to their predictive power when there is too little data for traditional methods
✓ See how the eigenstructure of a dataset enables clustering of variables into groups that exist only within meaningful subspaces of the data
✓ Plot regions of the variable space where there is disagreement between marginal and actual densities, or where contribution to mutual information is high

Features:
✓ An expert-driven data mining and algorithms in C++ book
✓ Data mining is an important topic in big data
✓ Algorithms are also a critical topic of growing importance

Who This Book Is For:
Anyone interested in discovering and exploiting relationships among variables. Although all code examples are written in C++, the algorithms are described in sufficient detail that they can easily be programmed in any language.

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