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Computational Intelligence in Data Science: 6th IFIP TC 12 International Conference, ICCIDS 2023, Chennai, India, February 23–25, 2023, Revised ... and Communication Technology, 673)

Computational Intelligence in Data Science: 6th IFIP TC 12 International Conference, ICCIDS 2023, Chennai, India, February 23–25, 2023, Revised ... and Communication Technology, 673)

Computational Intelligence in Data Science: 6th IFIP TC 12 International
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Computational Intelligence in Data Science: 6th IFIP TC 12 International Conference, ICCIDS 2023, Chennai, India, February 23–25, 2023, Revised ... and Communication Technology, 673) Other -

by Sarath Chandran K. R. (Editor); Sujaudeen N (Editor); Beulah A (Editor)

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  • Title Computational Intelligence in Data Science: 6th IFIP TC 12 International Conference, ICCIDS 2023, Chennai, India, February 23–25, 2023, Revised ... and Communication Technology, 673)
  • Author Sarath Chandran K. R. (Editor); Sujaudeen N (Editor); Beulah A (Editor)
  • Binding Other
  • Condition New
  • Pages 328
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 6396945816
  • ISBN 9783031382956 / 3031382951
  • Weight 1.45 lbs (0.66 kg)
  • Dimensions 9.21 x 6.14 x 0.81 in (23.39 x 15.60 x 2.06 cm)
  • Category Computers - Data Base Management
  • Quantity available 4

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From the publisher

This book constitutes the proceedings of the 6th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2023, which took place in Kalavakkam, India, in February 2023.
The 24 full papers presented in this volume were carefully reviewed and selected from 134 submissions. The major theme of the conference was intended to be computation intelligence and knowledge management. Various emerging areas like IoT, cyber security and data science need computation intelligence to align with the cutting-edge research. Machine learning delivers insights hidden in data for rapid, automated responses and improved decision making. Machine learning for IoT can be used to project future trends, detect anomalies, and augment intelligence by ingesting image, video, and audio.
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