TY  - BOOK
AU  - Chekanov,Sergei V.
ED  - SpringerLink (Online service)
TI  - Scientific Data Analysis using Jython Scripting and Java
T2  - Advanced Information and Knowledge Processing,
SN  - 9781849962872
AV  - QA75.5-76.95 
U1  - 004 23
PY  - 2010///
CY  - London
PB  - Springer London, Imprint: Springer
KW  - Computer science
KW  - Data mining
KW  - Computer Science
KW  - Computer Science, general
KW  - Data Mining and Knowledge Discovery
N1  - Jython, Java and jHepWork -- to Jython -- Mathematical Functions -- One-dimensional Data -- Two-dimensional Data -- Multi-dimensional Data -- Arrays, Matrices and Linear Algebra -- Histograms -- Random Numbers and Statistical Samples -- Graphical Canvases -- Input and Output -- Miscellaneous Analysis Issues Using jHepWork -- Data Clustering -- Linear Regression and Curve Fitting -- Neural Networks -- Steps in Data Analysis -- Real-life Examples
N2  - Scientific Data Analysis using Jython Scripting and Java presents practical approaches for data analysis using Java scripting based on Jython, a Java implementation of the Python language. The chapters essentially cover all aspects of data analysis, from arrays and histograms to clustering analysis, curve fitting, metadata and neural networks. A comprehensive coverage of data visualisation tools implemented in Java is also included. Written by the primary developer of the jHepWork data-analysis framework, the book provides a reliable and complete reference source laying the foundation for data-analysis applications using Java scripting. More than 250 code snippets (of around 10-20 lines each) written in Jython and Java, plus several real-life examples help the reader develop a genuine feeling for data analysis techniques and their programming implementation. This is the first data-analysis and data-mining book which is completely based on the Jython language, and opens doors to scripting using a fully multi-platform and multi-threaded approach. Graduate students and researchers will benefit from the information presented in this book
UR  - http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-84996-287-2
ER  -