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ECML PKDD 2018 Workshops

DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Anna Monreale

    1. KDD Lab, University of Pisa, Pisa, Italy

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  2. Carlos Alzate

    1. IBM Research - Ireland, Dublin, Ireland

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  3. Michael Kamp

    1. University of Bonn, Bonn, Germany

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  4. Yamuna Krishnamurthy

    1. Royal Holloway University of London, Egham , UK

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  5. Daniel Paurat

    1. Fraunhofer Institute for Intelligent Ana, Sankt Augustin, Germany

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  6. Moamar Sayed-Mouchaweh

    1. Départment Informatique et Automati, École des Mines de Douai, Reims, France

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  7. Albert Bifet

    1. ParisTech, LTCI, Telecom , Paris, France

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  8. João Gama

    1. Laboratory of Artificial Intelligence and Decision Support, University of Porto, Porto, Portugal

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  9. Rita P. Ribeiro

    1. Laboratory of Artificial Intelligence and Decision Support, University of Porto, Porto, Portugal

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 967)

Included in the following conference series:

Conference proceedings info: ECML PKDD 2018.

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Table of contents (10 papers)

  1. Front Matter

    Pages I-IX
    Download chapter PDF

  2. Decentralized Machine Learning on the Edge

    1. Front Matter

      Pages 1-3
      Download chapter PDF

    2. Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant

      • Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper
      Pages 5-20

    3. Asynchronous Federated Learning for Geospatial Applications

      • Michael R. Sprague, Amir Jalalirad, Marco Scavuzzo, Catalin Capota, Moritz Neun, Lyman Do et al.
      Pages 21-28

    4. Generalizing Knowledge in Decentralized Rule-Based Models

      • Pedro Strecht, João Mendes-Moreira, Carlos Soares
      Pages 29-36

    5. Introducing Noise in Decentralized Training of Neural Networks

      • Linara Adilova, Nathalie Paul, Peter Schlicht
      Pages 37-48

  3. 3rd Workshop on IoT Large Scale Machine Learning from Data Streams

    1. Front Matter

      Pages 49-53
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    2. Query Log Analysis: Detecting Anomalies in DNS Traffic at a TLD Resolver

      • Pieter Robberechts, Maarten Bosteels, Jesse Davis, Wannes Meert
      Pages 55-67

    3. Multimodal Tweet Sentiment Classification Algorithm Based on Attention Mechanism

      • Peiyu Zou, Shuangtao Yang
      Pages 68-79

    4. Active Learning by Clustering for Drifted Data Stream Classification

      • Jakub Zgraja, João Gama, Michał  Woźniak
      Pages 80-90

    5. Self Hyper-parameter Tuning for Stream Recommendation Algorithms

      • Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre
      Pages 91-102

    6. Deep Online Storage-Free Learning on Unordered Image Streams

      • Andrey Besedin, Pierre Blanchart, Michel Crucianu, Marin Ferecatu
      Pages 103-112

    7. Fault Prognostics for the Predictive Maintenance of Wind Turbines: State of the Art

      • Koceila Abid, Moamar Sayed Mouchaweh, Laurence Cornez
      Pages 113-125

  4. Back Matter

    Pages 127-127
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Other volumes

  1. Machine Learning and Knowledge Discovery in Databases

  2. Machine Learning and Knowledge Discovery in Databases

  3. Machine Learning and Knowledge Discovery in Databases

  4. ECML PKDD 2018 Workshops

  5. ECML PKDD 2018 Workshops

Keywords

About this book

This book constitutes revised selected papers from the workshops DMLE and IoTStream, held at the 18thEuropean Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018. 
The 8 full papers presented in this volume were carefully reviewed and selected from a total of 12 submissions.

The workshops included are:

DMLE 2018: First Workshop on Decentralized Machine Learning at the Edge

IoTStream 2018: 3rd Workshop on IoT Large Scale Machine Learning from Data Streams



Editors and Affiliations

  • KDD Lab, University of Pisa, Pisa, Italy

    Anna Monreale

  • IBM Research - Ireland, Dublin, Ireland

    Carlos Alzate

  • University of Bonn, Bonn, Germany

    Michael Kamp

  • Royal Holloway University of London, Egham , UK

    Yamuna Krishnamurthy

  • Fraunhofer Institute for Intelligent Ana, Sankt Augustin, Germany

    Daniel Paurat

  • Départment Informatique et Automati, École des Mines de Douai, Reims, France

    Moamar Sayed-Mouchaweh

  • ParisTech, LTCI, Telecom , Paris, France

    Albert Bifet

  • Laboratory of Artificial Intelligence and Decision Support, University of Porto, Porto, Portugal

    João Gama, Rita P. Ribeiro

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