rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Scientific Data Analysis using Jython Scripting and Java
  name:
    name part: Chekanov, Sergei V.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXIV, 440 p. online resource.
  abstract: 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.
  table of contents: 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.
  note: by Sergei V. Chekanov.
  subject:
    topic: Computer science
  subject:
    topic: Programming languages (Electronic computers)
  subject:
    topic: Database management
  subject:
    topic: Data mining
  subject:
    topic: Computer Science
  subject:
    topic: Database Management
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Programming Languages, Compilers, Interpreters
  subject:
    topic: Computer Science, general
  classification: QA76.9.D3
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advanced Information and Knowledge Processing
  identifier: 9781849962872
  identifier: http://dx.doi.org/10.1007/978-1-84996-287-2
  record info:
    record creation date: 100805
    record change date: 20151204153453.0
    record identifier: 978-1-84996-287-2