Interactive Dynamic Dashboard (25 results)
Language: English
Published by CRC Press, 2026
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Published by CRC Press, 2026
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Published by CRC Press, 2026
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Published by CRC Press, 2026
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Language: English
Published by CRC Press, 2026
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Language: English
Published by Taylor & Francis Ltd, 2026
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Paperback. Condition: Brand New. 288 pages. 6.14x0.63x9.21 inches. In Stock.
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Language: English
Published by CRC Press, 2026
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Language: English
Published by Taylor & Francis Ltd Jul 2026, 2026
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Taschenbuch. Condition: Neu. Neuware - 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 importan…t 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.
Interactive and Dynamic Dashboard : Design Principles
Vadivel, A. (EDT); Meena, K. (EDT); Sumathy, P. (EDT); Selvaraj, Henry (EDT); Shanmugavadivu, P. (EDT)
Language: English
Published by CRC Press, 2024
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Language: English
Published by CRC Press, 2024
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Interactive and Dynamic Dashboard : Design Principles
Vadivel, A. (EDT); Meena, K. (EDT); Sumathy, P. (EDT); Selvaraj, Henry (EDT); Shanmugavadivu, P. (EDT)
Language: English
Published by CRC Press, 2024
- Hardcover
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Language: English
Published by CRC Press, 2024
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Language: English
Published by CRC Press, 2024
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Interactive and Dynamic Dashboard : Design Principles
Vadivel, A. (EDT); Meena, K. (EDT); Sumathy, P. (EDT); Selvaraj, Henry (EDT); Shanmugavadivu, P. (EDT)
Language: English
Published by CRC Press, 2024
- Hardcover
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Language: English
Published by CRC Press, 2024
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Language: English
Published by CRC Press, 2024
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Interactive and Dynamic Dashboard : Design Principles
Vadivel, A. (EDT); Meena, K. (EDT); Sumathy, P. (EDT); Selvaraj, Henry (EDT); Shanmugavadivu, P. (EDT)
Language: English
Published by CRC Press, 2024
- Hardcover
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Language: English
Published by CRC Press, 2024
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Language: English
Published by CRC Press, 2024
- Hardcover
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Language: English
Published by Taylor & Francis Ltd, 2024
- Hardcover
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Language: English
Published by CRC Pr I Llc, 2024
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Language: English
Published by Taylor & Francis Ltd, London, 2026
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Paperback. Condition: new. Paperback. 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 approximationIt 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Taylor & Francis Ltd, London, 2026
- Softcover
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Paperback. Condition: new. Paperback. 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 approximationIt 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by CRC Press, 2024
- Hardcover
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Language: English
Published by Taylor & Francis Ltd, London, 2026
- Softcover
- Print on Demand
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Paperback. Condition: new. Paperback. 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 approximationIt 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. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
