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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, 1st ed. 2019) Loot Price: R1,521

Discovery Miles 15 210

Repayment Terms: R143 pm x 12*

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ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland,...

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, 1st ed. 2019)

Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva Garcia-Martin, Ricard Gavalda, Irena Koprinska

Series: Lecture Notes in Artificial Intelligence, 11329

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Loot Price R1,521 Discovery Miles 15 210 | Repayment Terms: R143 pm x 12*

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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 Learning UrbReas 2018: First International Workshop on Urban Reasoning from Complex Challenges in Cities SoGood 2018: Third Workshop on Data Science for Social Good IWAISe 2018: Second International Workshop on Artificial Intelligence in Security Green Data Mining 2018: First International Workshop on Energy Efficient Data Mining and Knowledge Discovery

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Lecture Notes in Artificial Intelligence, 11329
Release date:	February 2019
First published:	2019
Editors:	Carlos Alzate • Anna Monreale • Haytham Assem • Albert Bifet • Teodora Sandra Buda • Bora Caglayan • Brett Drury • Eva Garcia-Martin • Ricard Gavalda • Irena Koprinska
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	257
Edition:	1st ed. 2019
ISBN-13:	978-3-03-013452-5
Categories:	Books > Computing & IT > Computer communications & networking > Network security Books > Computing & IT > Internet > Network computers Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	3-03-013452-0
Barcode:	9783030134525