Scientific Data Analysis using Jython Scripting and Java

Information systems and intelligent knowledge processing are playing an increasing role in business, science and technology. Recently, advanced information systems have evolved to facilitate the co-evolution of human and information networks within communities. These advanced information systems use various paradigms including artificial intelligence, knowledge management, and bioinformatics, as well as conventional information processing paradigms.

This research-oriented series publishes books on new designs and applications of advanced information and knowledge processing concepts. Books in the series have a strong focus on information processing combined with, or extended by, new results from adjacent sciences.

Scientific Data Analysis using Jython Scripting and Java presents practical approaches for data analysis using Jave scripting based on Jython, a Java implementation of the Python language. The chapters essentially cover all aspects of data analysis, from arrays and historgrams 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 multiplatform and multi-threaded approach. Graduate students and researchers will benefit from the information presented in this book.