Benchmark Development for the Evaluation of Visualization for Data Mining (Classic Reprint) - Softcover
Synopsis
This book presents an insightful framework for establishing reliable data evaluation and benchmarking processes in visualization and data mining. Historically, these fields have lacked standard methodologies for assessing the effectiveness of tools and techniques, which has hindered progress. The author demonstrates the pressing need for reproducible experiments and controlled testing environments to advance the development of effective systems. The book explores various evaluation approaches from related information technology domains and proposes a basic framework for conducting evaluations in data mining. It introduces a set of testing criteria, covering aspects such as scalability, ease of integration, and user interaction, and describes a prototype evaluation environment that has been developed to test and compare different visualization techniques. Through detailed examples and case studies, the author illustrates how the proposed evaluation methodology can be applied to assess the strengths and weaknesses of specific visualizations. By providing a comprehensive overview of evaluation techniques and offering practical guidance for their implementation, this book empowers researchers and practitioners to make informed choices when selecting visualization tools and techniques for their specific needs.
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Benchmark Development for the Evaluation of Visualization for Data Mining
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Paperback. Condition: New. Print on Demand. This book presents an insightful framework for establishing reliable data evaluation and benchmarking processes in visualization and data mining. Historically, these fields have lacked standard methodologies for assessing the effectiveness of tools and techniques, which has hindered progress. The author demonstrates the pressing need for reproducible experiments and controlled testing environments to advance the development of effective systems. The book explores various evaluation approaches from related information technology domains and proposes a basic framework for conducting evaluations in data mining. It introduces a set of testing criteria, covering aspects such as scalability, ease of integration, and user interaction, and describes a prototype evaluation environment that has been developed to test and compare different visualization techniques. Through detailed examples and case studies, the author illustrates how the proposed evaluation methodology can be applied to assess the strengths and weaknesses of specific visualizations. By providing a comprehensive overview of evaluation techniques and offering practical guidance for their implementation, this book empowers researchers and practitioners to make informed choices when selecting visualization tools and techniques for their specific needs. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781527912373_0
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Benchmark Development for the Evaluation of Visualization for Data Mining (Classic Reprint)
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LX-9781527912373
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Benchmark Development for the Evaluation of Visualization for Data Mining (Classic Reprint)
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