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Visual analytics for process monitoring from time series to interpretable visual representations Ibrahim Yousef, Sirish L. Shah, R. Bhushan Gopaluni

Springer Nature - Synthesis Collection of Technology (R0) eBook Collection 2026 Available online

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Format:
Book
Author/Creator:
Yousef, Ibrahim, author.
Shah, S. L. (Sirish L.), 1949- author.
Gopaluni, R. Bhushan, author.
Series:
Synthesis lectures on emerging engineering technologies
Synthesis lectures on emerging engineering technologies 2381-1439
Language:
English
Subjects (All):
Visual analytics.
Physical Description:
1 online resource
Place of Publication:
Cham, Switzerland Springer [2026]
Summary:
"n 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"-- Springer Nature Link
Contents:
Introduction to visual analytics
Evaluation benchmarks
Visual analytics pathway I : feature engineering
Visual analytics pathway II : architecture engineering
Visual analytics pathway III : data engineering
Notes:
Includes bibliographical references
Online resource; title from PDF title pag e (Springer Nature Link, viewed July 6, 2026)
Other Format:
Print version Yousef, Ibrahim Visual analytics for process monitoring
ISBN:
9783032221261
3032221269
OCLC:
1601915955
Access Restriction:
Restricted for use by site license

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