Title: Benchmark Development for the Evaluation of Visualization for Data Mining (Classic Reprint)
Publisher: Forgotten Books
Publication Date: 2018
Language: English
ISBN 10: 0266916929
ISBN 13: 9780266916925
Binding: HRD
Condition: New
Weight: 281 grams

About this title

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.

"About this title" may belong to another edition of this title.

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