Benchmark Development for the Evaluation of Visualization for Data Mining
Language: English
Published by Forgotten Books, 2024
- Softcover
- New
Seller: Forgotten Books, London, United KingdomForgotten Books
AbeBooks seller since June 2, 2021
Condition: New
£ 13.50
Quantity: Over 20 available
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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.…
Seller Inventory # 9781527912373_0
- Title
- Benchmark Development for the Evaluation of Visualization for Data Mining
- Author
- Sharon J. Laskowski, Georges G. Grinstein
- Publisher
- Forgotten Books
- Publication year
- 2024
- Condition
- New
- Book Type
- print-on-demand item
- Binding
- Paperback
- Language
- English
- ISBN 10
- 152791237X
- ISBN 13
- 9781527912373
- Seller catalogs
- Audits and Surveys
We are currently seeing a rapid growth in the development of tools and techniques for supporting knowledge discovery in databases (kdd). New sets of powerful data visualization tools have appeared in the marketplace and in the research community. This, combined with readily available computer memory, speed, and graphics capabilities, makes it possible to explore larger and larger data sets. While this trend has served to increase the interest and effort of corporations in exploring their data for hidden nuggets of information, these visualization tools are not well integrated with data mining software, and it is difficult to judge the effectiveness of either the visualizations or the data mining.
To remedy the situation, it is becoming increasingly important to develop appropriate data sets and reproducible benchmark tests to identify the current best practices and to steer development of future systems.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Forgotten Books publishes hundreds of thousands of rare and classic books.
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
This text has been digitally restored from a historical edition. Some errors may persist, however we consider it worth publishing due to the work's historical value.
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