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{ "item_title" : "Data Analytics and Management in Data Intensive Domains", "item_author" : [" Jaume Baixeries", "Dmitry I. Ignatov", "Sergei O. Kuznetsov "], "item_description" : "This book constitutes the post-conference proceedings of the 25th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2023, held in Moscow, Russia, during 24-27 October 2023.The 21 papers presented here were carefully reviewed and selected from 75 submissions. These papers are organized in the following topical sections: Data Models and Knowledge Graphs; Databases in Data Intensive Domains; Machine learning methods and applications; Data Analysis in Astronomy & Information extraction from text. Papers from keynote talks have also been included in this book.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/167/825/3031678257_b.jpg", "price_data" : { "retail_price" : "84.99", "online_price" : "84.99", "our_price" : "84.99", "club_price" : "84.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Analytics and Management in Data Intensive Domains|Jaume Baixeries

Data Analytics and Management in Data Intensive Domains : 25th International Conference, Damdid/Rcdl 2023, Moscow, Russia, October 24-27, 2023, Revised

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Overview

This book constitutes the post-conference proceedings of the 25th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2023, held in Moscow, Russia, during 24-27 October 2023.


The 21 papers presented here were carefully reviewed and selected from 75 submissions. These papers are organized in the following topical sections: Data Models and Knowledge Graphs; Databases in Data Intensive Domains; Machine learning methods and applications; Data Analysis in Astronomy & Information extraction from text. Papers from keynote talks have also been included in this book.

This item is Non-Returnable

Details

  • ISBN-13: 9783031678257
  • ISBN-10: 3031678257
  • Publisher: Springer
  • Publish Date: October 2024
  • Dimensions: 9.21 x 6.14 x 0.69 inches
  • Shipping Weight: 1.03 pounds
  • Page Count: 300

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