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商品詳細
Visual Analytics for Process Monitoring: From Time Series to Interpretable Visual Representations.
・ISBN 978-3-032-22125-4 hard EUR 39.99
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| 著者・編者 | Yousef, Ibrahim / Shah, Sirish L. / Gopaluni, R. Bhushan, |
|---|---|
| シリーズ | (Synthesis Lectures on Emerging Engineering Technologies) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 78 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-60138＞ |
解説
In the era of big data, process industries face the challenge of analyzing massive and complex data to extract information for effective process monitoring. This book introduces a novel paradigm called visual analytics. Visual analytics transforms chronological process data into visual formats to uncover patterns. This paradigm allows process experts to relate visual patterns to operational conditions and, consequently, support informed decision-making.
The book explores three pathways within the visual analytics paradigm: (i) feature engineering, in which predefined mappings are used to convert time series data into visual representations; (ii) architecture engineering, which develops neural network architectures to directly learn visual representations; and (iii) data engineering, which employs contrastive learning to highlight differences and similarities in the data without relying on annotations.