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Interactive and Dynamic Dashboard

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Paperback / softback
19 July 2026
288 Pages
RRP: $117.99
$117.00
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The text comprehensively discusses the representation of visual data and design principles of interactive and dynamic dashboards. It further covers the theoretical concept of inference and machine learning algorithms for making the concepts clear to the reader. The book illustrates important topics such as data testing a parametric hypothesis, data testing a non-parametric hypothesis, exploratory data analysis, outlier detection and interpretation.

This book:

  • Covers various data analysis tools such as KNIME, RapidMiner, Rstudio, Grafana, and Redash
  • Discusses the theoretical concept of inference and machine learning algorithms for designing dynamic dashboards
  • Presents statistical modelling techniques with an emphasis on pattern mining, and pattern relationships
  • Explains the problem of efficient retrieval of similar time series in large databases to enrich the knowledge of the readers to effectively handle various real-time datasets
  • Illustrates dimensionality reduction techniques such as principal component analysis, linear discriminant analysis, singular value decomposition, and piecewise vector quantized approximation

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

You Can Find This Book In

    Book Details
    ISBN-13
    9781032894218
    Author
    A. Vadivel
    Publisher
    CRC Press
    Published
    19 July 2026
    Format
    Paperback / softback
    Pages
    288

    This product hasn't received any reviews yet. Be the first to review this product!

    RRP: $117.99
    $117.00
    Hurry up! Current stock:

    Interactive and Dynamic Dashboard

    RRP: $117.99
    $117.00

    Description

    The text comprehensively discusses the representation of visual data and design principles of interactive and dynamic dashboards. It further covers the theoretical concept of inference and machine learning algorithms for making the concepts clear to the reader. The book illustrates important topics such as data testing a parametric hypothesis, data testing a non-parametric hypothesis, exploratory data analysis, outlier detection and interpretation.

    This book:

    • Covers various data analysis tools such as KNIME, RapidMiner, Rstudio, Grafana, and Redash
    • Discusses the theoretical concept of inference and machine learning algorithms for designing dynamic dashboards
    • Presents statistical modelling techniques with an emphasis on pattern mining, and pattern relationships
    • Explains the problem of efficient retrieval of similar time series in large databases to enrich the knowledge of the readers to effectively handle various real-time datasets
    • Illustrates dimensionality reduction techniques such as principal component analysis, linear discriminant analysis, singular value decomposition, and piecewise vector quantized approximation

    It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

    You Can Find This Book In

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