Scientific Data Analysis using Jython Scripting and Java [recurso electrónico] / by Sergei V. Chekanov.
Tipo de material: TextoSeries Advanced Information and Knowledge ProcessingEditor: London : Springer London : Imprint: Springer, 2010Descripción: XXIV, 440 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9781849962872Tema(s): Computer science | Data mining | Computer Science | Computer Science, general | Data Mining and Knowledge DiscoveryFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 004 Clasificación LoC:QA75.5-76.95Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | QA75.5 -76.95 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 372881-2001 |
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QA75.5 -76.95 Agent-Based Service-Oriented Computing | QA75.5 -76.95 Emergent Web Intelligence: Advanced Information Retrieval | QA75.5 -76.95 Game of Life Cellular Automata | QA75.5 -76.95 Scientific Data Analysis using Jython Scripting and Java | QA75.5 -76.95 Network Performance Engineering | QA75.5 -76.95 Patent Law for Computer Scientists | QA75.5 -76.95 Replication |
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.
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.
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