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Data mining algorithms in C++ = data...

Masters, Timothy.

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Data mining algorithms in C++ = data patterns and algorithms for modern applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data mining algorithms in C++/ by Timothy Masters.
Reminder of title:	data patterns and algorithms for modern applications /
Author:	Masters, Timothy.
Published:	Berkeley, CA :Apress : : 2018.,
Description:	xiv, 286 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Information and Entropy -- 2. Screening for Relationships -- 3. Displaying Relationship Anomalies -- 4. Fun With Eigenvectors -- 5. Using the DATAMINE Program.
Contained By:	Springer eBooks
Subject:	Data mining. -
Online resource:	http://dx.doi.org/10.1007/978-1-4842-3315-3
ISBN:	9781484233153

Data mining algorithms in C++ = data patterns and algorithms for modern applications /
Masters, Timothy.

Data mining algorithms in C++data patterns and algorithms for modern applications /[electronic resource] :by Timothy Masters. - Berkeley, CA :Apress :2018. - xiv, 286 p. :ill., digital ;24 cm.

1. Information and Entropy -- 2. Screening for Relationships -- 3. Displaying Relationship Anomalies -- 4. Fun With Eigenvectors -- 5. Using the DATAMINE Program.

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.

ISBN: 9781484233153

Standard No.: 10.1007/978-1-4842-3315-3doiSubjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Data mining algorithms in C++ = data patterns and algorithms for modern applications /
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245 1 0 $a Data mining algorithms in C++ $h [electronic resource] : $b data patterns and algorithms for modern applications / $c by Timothy Masters.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a xiv, 286 p. : $b ill., digital ; $c 24 cm.
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 $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.
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650 0 $a Computer algorithms. $3 523872
650 0 $a C++ (Computer program language) $3 527229
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650 2 4 $a Big Data. $3 3134868
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Programming Techniques. $3 892496
650 2 4 $a Algorithms. $3 536374
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856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-3315-3
950 $a Professional and Applied Computing (Springer-12059)