Scientific Data Analysis using Jython Scripting and Java

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,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Chekanov, Sergei V. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Advanced Information and Knowledge Processing,
Temas:
Database management.
Data mining.
Compilers (Computer programs).
Computer science.
Database Management.
Data Mining and Knowledge Discovery.
Compilers and Interpreters.
Computer Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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