Description: Intelligent Data Engineering and Automated Learning 2019 : 20th International Conference, Manchester, Uk, November 14-16, 2019, Proceedings, Paperback by Yin, Hujun (EDT); Camacho, David (EDT); Tino, Peter (EDT); Tallón-ballesteros, Antonio J. (EDT); Menezes, Ronaldo (EDT), ISBN 3030336069, ISBN-13 9783030336066, Like New Used, Free shipping in the US
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.
Price: 67.45 USD
Location: Jessup, Maryland
End Time: 2025-01-16T11:44:21.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Intelligent Data Engineering and Automated Learning 2019 : 20th I
Number of Pages: Xxii, 554 Pages
Publication Name: Intelligent Data Engineering and Automated Learning - IDEAL 2019 : 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part I
Language: English
Publisher: Springer International Publishing A&G
Subject: Computers & Technology, Probability & Statistics / General, Databases / Data Mining
Publication Year: 2019
Item Weight: 30.8 Oz
Type: Textbook
Author: David Camacho
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Education
Series: Lecture Notes in Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback
