國立虎尾科技大學 |

Numeric Computation and Statistical Data Analysis on the Java Platform

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Numeric Computation and Statistical Data Analysis on the Java Platform/ by Sergei V. Chekanov.
作者:	Chekanov, Sergei V.
面頁冊數:	XXVI, 620 p. 92 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Programming languages (Electronic computers). -
電子資源:	https://doi.org/10.1007/978-3-319-28531-3
ISBN:	9783319285313

Numeric Computation and Statistical Data Analysis on the Java Platform
Chekanov, Sergei V.

Numeric Computation and Statistical Data Analysis on the Java Platform[electronic resource] /by Sergei V. Chekanov. - 1st ed. 2016. - XXVI, 620 p. 92 illus.online resource. - Advanced Information and Knowledge Processing,1610-3947. - Advanced Information and Knowledge Processing,.

Java Computational Platform -- Introduction to Jython -- Mathematical Functions -- Data Arrays -- Linear Algebra and Equations -- Symbolic Computations -- Histograms -- Scientific Visualization -- File Input and Output -- Probability and Statistics -- Linear Regression and Curve Fitting -- Data Analysis and Data Mining -- Neural Networks -- Finding Regularities and Data Classification -- Miscellaneous Topics -- Using Other Languages on the Java Platform -- Octave-style Scripting Using Java -- Index -- Index of Code Examples.

Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell. This book equips the reader with a computational platform which, unlike other statistical programs, is not limited by a single programming language. The author focuses on practical programming aspects and covers a broad range of topics, from basic introduction to the Python language on the Java platform (Jython), to descriptive statistics, symbolic calculations, neural networks, non-linear regression analysis and many other data-mining topics. He discusses how to find regularities in real-world data, how to classify data, and how to process data for knowledge discoveries. The code snippets are so short that they easily fit into single pages. Numeric Computation and Statistical Data Analysis on the Java Platform is a great choice for those who want to learn how statistical data analysis can be done using popular programming languages, who want to integrate data analysis algorithms in full-scale applications, and deploy such calculations on the web pages or computational servers regardless of their operating system. It is an excellent reference for scientific computations to solve real-world problems using a comprehensive stack of open-source Java libraries included in the DataMelt (DMelt) project and will be appreciated by many data-analysis scientists, engineers and students.

ISBN: 9783319285313

Standard No.: 10.1007/978-3-319-28531-3doiSubjects--Topical Terms:

1127615
Programming languages (Electronic computers).

LC Class. No.: QA76.7-76.73

Dewey Class. No.: 005.13

Numeric Computation and Statistical Data Analysis on the Java Platform
LDR:03623nam a22004335i 4500 001 972503
003 DE-He213
005 20200702035640.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319285313 $9 978-3-319-28531-3
024 7 $a 10.1007/978-3-319-28531-3 $2 doi
035 $a 978-3-319-28531-3
050 4 $a QA76.7-76.73
050 4 $a QA76.76.C65
072 7 $a UMX $2 bicssc
072 7 $a COM051010 $2 bisacsh
072 7 $a UMX $2 thema
072 7 $a UMC $2 thema
082 0 4 $a 005.13 $2 23
100 1 $a Chekanov, Sergei V. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1106571
245 1 0 $a Numeric Computation and Statistical Data Analysis on the Java Platform $h [electronic resource] / $c by Sergei V. Chekanov.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XXVI, 620 p. 92 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Advanced Information and Knowledge Processing, $x 1610-3947
505 0 $a Java Computational Platform -- Introduction to Jython -- Mathematical Functions -- Data Arrays -- Linear Algebra and Equations -- Symbolic Computations -- Histograms -- Scientific Visualization -- File Input and Output -- Probability and Statistics -- Linear Regression and Curve Fitting -- Data Analysis and Data Mining -- Neural Networks -- Finding Regularities and Data Classification -- Miscellaneous Topics -- Using Other Languages on the Java Platform -- Octave-style Scripting Using Java -- Index -- Index of Code Examples.
520 $a Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell. This book equips the reader with a computational platform which, unlike other statistical programs, is not limited by a single programming language. The author focuses on practical programming aspects and covers a broad range of topics, from basic introduction to the Python language on the Java platform (Jython), to descriptive statistics, symbolic calculations, neural networks, non-linear regression analysis and many other data-mining topics. He discusses how to find regularities in real-world data, how to classify data, and how to process data for knowledge discoveries. The code snippets are so short that they easily fit into single pages. Numeric Computation and Statistical Data Analysis on the Java Platform is a great choice for those who want to learn how statistical data analysis can be done using popular programming languages, who want to integrate data analysis algorithms in full-scale applications, and deploy such calculations on the web pages or computational servers regardless of their operating system. It is an excellent reference for scientific computations to solve real-world problems using a comprehensive stack of open-source Java libraries included in the DataMelt (DMelt) project and will be appreciated by many data-analysis scientists, engineers and students.
650 0 $a Programming languages (Electronic computers). $3 1127615
650 0 $a Data mining. $3 528622
650 1 4 $a Programming Languages, Compilers, Interpreters. $3 669782
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319285290
776 0 8 $i Printed edition: $z 9783319285306
776 0 8 $i Printed edition: $z 9783319803715
830 0 $a Advanced Information and Knowledge Processing, $x 1610-3947 $3 1254273
856 4 0 $u https://doi.org/10.1007/978-3-319-28531-3
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)