國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

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

Masters, Timothy.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data mining algorithms in C++by Timothy Masters.
其他題名:	data patterns and algorithms for modern applications /
作者:	Masters, Timothy.
出版者:	Berkeley, CA :Apress :2018.
面頁冊數:	xiv, 286 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Data mining.
電子資源:	http://dx.doi.org/10.1007/978-1-4842-3315-3
ISBN:	9781484233153$q(electronic bk.)

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$q(electronic bk.)

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

184440
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 /
LDR:02227nmm a2200337 a 4500 001 530231
003 DE-He213
005 20180817131851.0
006 m d
007 cr nn 008maaau
008 181107s2018 cau s 0 eng d
020 $a 9781484233153$q(electronic bk.)
020 $a 9781484233146$q(paper)
024 7 $a 10.1007/978-1-4842-3315-3 $2 doi
035 $a 978-1-4842-3315-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UMX $2 bicssc
072 7 $a UMC $2 bicssc
072 7 $a COM051010 $2 bisacsh
072 7 $a COM010000 $2 bisacsh
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b M423 2018
100 1 $a Masters, Timothy. $3 225583
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.
650 0 $a Data mining. $3 184440
650 0 $a Computer algorithms. $3 184478
650 0 $a C++ (Computer program language) $3 181958
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 274102
650 2 4 $a Big Data. $3 760530
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Programming Techniques. $3 274470
650 2 4 $a Algorithms. $3 184661
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-3315-3
950 $a Professional and Applied Computing (Springer-12059)