menu
{ "item_title" : "Intelligent Data Engineering and Automated Learning - Ideal 2018", "item_author" : [" Hujun Yin", "David Camacho", "Paulo Novais "], "item_description" : "This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/003/495/303003495X_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "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 2018|Hujun Yin

Intelligent Data Engineering and Automated Learning - Ideal 2018 : 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Par

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.

This item is Non-Returnable

Details

  • ISBN-13: 9783030034955
  • ISBN-10: 303003495X
  • Publisher: Springer
  • Publish Date: November 2018
  • Dimensions: 9.21 x 6.14 x 0.78 inches
  • Shipping Weight: 1.16 pounds
  • Page Count: 349

Related Categories

You May Also Like...

    1

BAM Customer Reviews