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Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
EAN
9781484233146
UPC
9781484233146
ISBN
9781484233146
MPN
N/A
Book Title
Data Mining Algorithms in C++: Data Patterns and A
Item Length
25.4 cm
Publication Year
2017
Type
Textbook
Format
Paperback
Language
English
Publication Name
Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications
Item Height
254mm
Author
Timothy Masters
Publisher
Apress
Item Width
178mm
Subject
Computer Science, Mathematics
Item Weight
581g
Number of Pages
286 Pages

About this product

Product Information

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. What You'll 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 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.

Product Identifiers

Publisher
Apress
ISBN-13
9781484233146
eBay Product ID (ePID)
25046666461

Product Key Features

Author
Timothy Masters
Publication Name
Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications
Format
Paperback
Language
English
Subject
Computer Science, Mathematics
Publication Year
2017
Type
Textbook
Number of Pages
286 Pages

Dimensions

Item Height
254mm
Item Width
178mm
Item Weight
581g

Additional Product Features

Title_Author
Timothy Masters
Country/Region of Manufacture
United States

Item description from the seller

Business seller information

Value Added Tax Number:
  • GB 118119922
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n***a (223)- Feedback left by buyer.
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Lovely book makes a lovely ornament very quickly delivered
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it got here much faster than expected, and in great condition!
t***s (4)- Feedback left by buyer.
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I wish people who sell these books let you know if the book is the same size as Jessica hasting original publisher books which is bigger and more floppy with the pages. If you are someone who cares about their books being the same length don’t recommend buying this. Overall book came in Amazing condition just hate the sticker on the back of the book, made the book leave sticky residue from taking it off super annoying! hard to clean off! 

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