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{ "item_title" : "Intelligent Data Engineering and Automated Learning - Ideal 2022", "item_author" : [" Hujun Yin", "David Camacho", "Peter Tino "], "item_description" : "This book constitutes the refereed proceedings of the 23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022, which took place in Manchester, UK, during November 24-26, 2022. The 52 full papers included in this book were carefully reviewed and selected from 79 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/121/752/3031217527_b.jpg", "price_data" : { "retail_price" : "99.99", "online_price" : "99.99", "our_price" : "99.99", "club_price" : "99.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Intelligent Data Engineering and Automated Learning - Ideal 2022|Hujun Yin

Intelligent Data Engineering and Automated Learning - Ideal 2022 : 23rd International Conference, Ideal 2022, Manchester, Uk, November 24-26, 2022, Pro

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Overview

This book constitutes the refereed proceedings of the 23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022, which took place in Manchester, UK, during November 24-26, 2022.
The 52 full papers included in this book were carefully reviewed and selected from 79 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.

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Details

  • ISBN-13: 9783031217524
  • ISBN-10: 3031217527
  • Publisher: Springer
  • Publish Date: November 2022
  • Dimensions: 9.21 x 6.14 x 1.16 inches
  • Shipping Weight: 1.74 pounds
  • Page Count: 551

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