Benchmark Development for the Evaluation of Visualization for Data Mining (Classic Reprint) - Hardcover

Sharon J. Laskowski

Hardcover

ISBN 10: 0266916929 ISBN 13: 9780266916925

Publisher: Forgotten Books, 2018

Synopsis

Benchmark development for the evaluation of visualization for data mining offers a clear path to measuring how well visual tools support data mining tasks.

This edition guides readers through practical benchmarks, frameworks, and evaluation methods that can drive better design and testing of visualization software.

This work explains why reproducible benchmark tests matter, shows how to build a testing environment, and describes example visualizations tested on several data sets. It highlights the importance of comparing different tools on common criteria and tasks, so researchers and practitioners can choose the best answers for their data and goals.

• Understanding how to create and use benchmarks for visualization in data mining
• Ways to evaluate visual tools across tasks such as detecting features, clusters, and rules
• Examples of data sets and testing scenarios that reveal strengths and weaknesses of visual approaches
• Guidance for developing future visualization methods that integrate smoothly with data mining

Ideal for readers who want practical methods to assess visualization techniques in data mining and to inform development of better tools for large data sets.

Edition details

• Publisher: Forgotten Books
• Publication date: 2018
• Language: English
• ISBN 10: 0266916929
• ISBN 13: 9780266916925
• Binding: Hardcover
• Number of pages: 55