ECML PKDD 2018 Workshops

Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings
1. Auflage 2019
ISBN: 978-3-030-13452-5
Verlag: Springer International Publishing

Buch, Englisch, 257 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 417 g

Reihe: Lecture Notes in Artificial Intelligence

This book constitutes revised selected papers from the workshops Nemesis, UrbReas, SoGood, IWAISe, and Green Data Mining, held at the 18 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

Zielgruppe

Research

Autoren/Hrsg.

Alzate, Carlos

Koprinska, Irena

Monreale, Anna

Kramer, Stefan

Assem, Haytham

Lavesson, Niklas

Bifet, Albert

Madden, Michael

Buda, Teodora Sandra

Molloy, Ian

Caglayan, Bora

Nicolae, Maria-Irina

Drury, Brett

García-Martín, Eva

Sinn, Mathieu

Gavaldà, Ricard

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Label Sanitization against Label Flipping Poisoning Attacks.- Limitations of the Lipschitz constant as a Defense Against Adversarial Examples.- Understanding Adversarial Space through the Lens of Attribution.- Detecting Potential Local Adversarial Examples for Human-Interpretable Defense.- Smart Cities with Deep Edges.- Computational Model for Urban Growth Using Socioeconomic Latent Parameters.- Object Geolocation from Crowdsourced Street Level Imagery.- Extending Support Vector Regression to Constraint Optimization: Application to the Reduction of Potentially Avoidable Hospitalizations.- SALER: a Data Science Solution to Detect and Prevent Corruption in Public Administration.- MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities.- Designing Data-Driven Solutions to Societal Problems: Challenges and Approaches.- Host based Intrusion Detection System with Combined CNN/RNN Model.- Cyber Attacks against the PC Learning Algorithm.- Neural Networks in an AdversarialSetting and Ill-Conditioned Weight Space.- Pseudo-Random Number Generation using Generative Adversarial Networks.- Context Delegation for Context-Based Access Control.- An Information Retrieval System For CBRNe Incidents.- A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support.- Event relevancy pruning in support of energy-efficient sequential pattern mining.- How to Measure Energy Consumption in Machine Learning Algorithms.