Intelligent Data Engineering and Automated Learning - Ideal 2019: 20th International Conference, Manchester, Uk, November 14-16, 2019, Proceedings, Pa
暫譯: 智能數據工程與自動化學習 - 理想2019:第20屆國際會議,英國曼徹斯特,2019年11月14-16日,會議論文集

Yin, Hujun, Camacho, David, Tino, Peter

  • 出版商: Springer
  • 出版日期: 2019-10-24
  • 售價: $2,420
  • 貴賓價: 9.5$2,299
  • 語言: 英文
  • 頁數: 554
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030336069
  • ISBN-13: 9783030336066
  • 海外代購書籍(需單獨結帳)

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商品描述

This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019.

The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.

商品描述(中文翻譯)

這兩卷的 LNCS 11871 和 11872 是第 20 屆國際智能數據工程與自動化學習會議(IDEAL 2019)的經過徹底審核的會議論文集,該會議於 2019 年 11 月在英國曼徹斯特舉行。

所呈現的 94 篇完整論文是從 149 篇投稿中仔細審核和選出的。這些論文提供了有關數據工程和機器學習最新進展的及時樣本,涵蓋了方法論、框架、算法到應用等各個方面。IDEAL 2019 的核心主題包括大數據挑戰、機器學習、數據挖掘、信息檢索與管理、生物/神經信息學、生物啟發模型(包括神經網絡、進化計算和群體智慧)、智能代理和混合智能系統,以及智能技術和人工智慧的實際應用。

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