Description: Ecml Pkdd 2018 Workshops : Nemesis 2018, Urbreas 2018, Sogood 2018, Iwaise 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Paperback by Alzate, Carlos (EDT); Monreale, Anna (EDT); Assem, Haytham (EDT); Bifet, Albert (EDT); Buda, Teodora Sandra (EDT), ISBN 3030134520, ISBN-13 9783030134525, Brand New, Free P&P in the UK This book constitutes revised selected papers from the workshops Nemesis, UrbReas, SoGood, IWAISe, and Green Data Mining, held at the 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018.
The 20 papers presented in this volume were carefully reviewed and selected from a total of 32 submissions.
The workshops included are:
Nemesis 2018: First Workshop on Recent Advances in Adversarial Machine LearningUrbReas 2018: First International Workshop on Urban Reasoning from Complex Challenges in Cities
SoGood 2018: Third Workshop on Data Science for Social GoodIWAISe 2018: Second International Workshop on Artificial Intelligence in Security
Green Data Mining 2018: First International Workshop on Energy Efficient Data Mining and Knowledge DiscoveryPrice: 51.22 GBP
Location: Castle Donington
End Time: 2024-09-29T00:57:37.000Z
Shipping Cost: 21.07 GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 30 days
Book Title: Ecml Pkdd 2018 Workshops : Nemesis 2018, Urbreas 2018, Sogood 201
Item Height: 235mm
Item Width: 155mm
Author: Albert Bifet, Irena Koprinska, Bora Caglayan, Eva Garcia-Martin, Brett Drury, Haytham Assem, Carlos Alzate, Ricard Gavalda, Teodora Sandra Buda, Anna Monreale
Publication Name: ECML PKDD 2018 Workshops: Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings
Format: Paperback
Language: English
Publisher: Springer Nature Switzerland A&G
Subject: Computer Science
Publication Year: 2019
Type: Textbook
Item Weight: 421g
Number of Pages: 257 Pages
