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 shipping in the US 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: 66.23 USD
Location: Jessup, Maryland
End Time: 2024-09-17T04:26:59.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
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
Book Title: Ecml Pkdd 2018 Workshops : Nemesis 2018, Urbreas 2018, Sogood 201
Number of Pages: X, 257 Pages
Language: English
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
Publisher: Springer International Publishing A&G
Publication Year: 2019
Subject: Intelligence (Ai) & Semantics, Security / General, Computer Vision & Pattern Recognition
Type: Textbook
Item Weight: 16 Oz
Author: Anna Monreale
Item Length: 9.3 in
Subject Area: Computers
Series: Lecture Notes in Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback
