Overview
- Equips readers with a description
- of the Java computational environment for data mining and knowledge discovery
- which can be used with several scripting languages, such as Python, Groovy and
- Provides more than 350 examples illustrating numerical and statistical calculations using short code snippets
- Discusses real-life data-analysis examples with visualization in 2D and 3D, including the recent Higgs discovery by CERN
- Includes supplementary material: sn.pub/extras
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (17 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
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.
Authors and Affiliations
About the author
Currently, this software is the world's leading open-source program for data analysis, statistics and scientific visualization, incorporating Java packages from more than 100 developers around the world and with thousands of users. Presently, he works at the Argonne National Laboratory (Chicago, USA).
Bibliographic Information
Book Title: Numeric Computation and Statistical Data Analysis on the Java Platform
Authors: Sergei V. Chekanov
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/978-3-319-28531-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-28529-0Published: 05 April 2016
Softcover ISBN: 978-3-319-80371-5Published: 25 April 2018
eBook ISBN: 978-3-319-28531-3Published: 23 March 2016
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: XXVI, 620
Number of Illustrations: 92 b/w illustrations
Topics: Programming Languages, Compilers, Interpreters, Data Mining and Knowledge Discovery