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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
EPUB
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ISBN-13:
9783030134532
Veröffentl:
2019
Einband:
EPUB
Seiten:
257
Autor:
Carlos Alzate
Serie:
Lecture Notes in Computer Science
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:
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 CitiesSoGood 2018: Third Workshop on Data Science for Social GoodIWAISe 2018: Second International Workshop on Artificial Intelligence in SecurityGreen Data Mining 2018: First International Workshop on Energy Efficient Data Mining and Knowledge Discovery
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 CitiesSoGood 2018: Third Workshop on Data Science for Social GoodIWAISe 2018: Second International Workshop on Artificial Intelligence in SecurityGreen Data Mining 2018: First International Workshop on Energy Efficient Data Mining and Knowledge Discovery