ECML PKDD 2018 Workshops Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings

ECML PKDD 2018 Workshops Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings / edited by Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Irena Koprinska, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian Molloy, Maria-Irina Nicolae, Mathieu Sinn.

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 t...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Alzate, Carlos (Editor), Monreale, Anna (Editor), Assem, Haytham (Editor), Bifet, Albert (Editor), Buda, Teodora Sandra (Editor), Caglayan, Bora (Editor), Drury, Brett (Editor), García-Martín, Eva (Editor), Gavaldà, Ricard (Editor), Koprinska, Irena (Editor), Kramer, Stefan (Editor), Lavesson, Niklas (Editor), Madden, Michael (Editor), Molloy, Ian (Editor), Nicolae, Maria-Irina (Editor), Sinn, Mathieu (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Lecture Notes in Artificial Intelligence ; 11329
Springer eBook Collection.
Subjects:
Artificial intelligence.
Computer security.
Optical data processing.
Computer communication systems.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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 Adversarial Setting 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.

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