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© 2020

Machine Learning and Knowledge Discovery in Databases

International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I

  • Peggy Cellier
  • Kurt Driessens
Conference proceedings ECML PKDD 2019

Part of the Communications in Computer and Information Science book series (CCIS, volume 1167)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Automating Data Science

    1. Front Matter
      Pages 1-1
    2. Laurens A. Castelijns, Yuri Maas, Joaquin Vanschoren
      Pages 3-16
    3. Lidia Contreras-Ochando, Cèsar Ferri, José Hernández-Orallo
      Pages 17-27
    4. Claas Völcker, Alejandro Molina, Johannes Neumann, Dirk Westermann, Kristian Kersting
      Pages 28-43
    5. Maryam Tavakol, Sebastian Mair, Katharina Morik
      Pages 44-50
    6. Dries Van Daele, Nicholas Decleyre, Herman Dubois, Wannes Meert
      Pages 51-56
    7. Jorge G. Madrid, Hugo Jair Escalante, Eduardo Morales
      Pages 57-67
    8. Emilia Oikarinen, Kai Puolamäki, Samaneh Khoshrou, Mykola Pechenizkiy
      Pages 85-101 Open Access
    9. Yann Dauxais, Clément Gautrais, Anton Dries, Arcchit Jain, Samuel Kolb, Mohit Kumar et al.
      Pages 102-110
    10. Franziska Horn, Robert Pack, Michael Rieger
      Pages 111-120
    11. Michael P. J. Camilleri, Christopher K. I. Williams
      Pages 121-136
    12. Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
      Pages 137-143
  3. Advances in Interpretable Machine Learning and Artificial Intelligence & eXplainable Knowledge Discovery in Data Mining (AIMLAI-XKDD)

    1. Front Matter
      Pages 145-145
    2. Ludwig Schallner, Johannes Rabold, Oliver Scholz, Ute Schmid
      Pages 147-158
    3. Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini
      Pages 159-171
    4. Christina Göpfert, Jan Philip Göpfert, Barbara Hammer
      Pages 172-179
    5. Johannes Rabold, Hannah Deininger, Michael Siebers, Ute Schmid
      Pages 180-192
    6. Christoph Molnar, Giuseppe Casalicchio, Bernd Bischl
      Pages 193-204

Other volumes

  1. Machine Learning and Knowledge Discovery in Databases
    International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I
  2. International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
  3. European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I
  4. European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
  5. European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III

About these proceedings

Introduction

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. 

The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019;  Workshop on Decentralized Machine Learning at the Edge, DMLE 2019; Workshop on Advances in Managing and Mining Large Evolving Graphs, LEG 2019; Workshop on Data and Machine Learning Advances with Multiple Views; Workshop on New Trends in Representation Learning with Knowledge Graphs; Workshop on Data Science for Social Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics, MLSA 2019; Workshop on Categorising Different Types of Online Harassment Languages in Social Media; Workshop on IoT Stream for Data Driven Predictive Maintenance, IoTStream 2019; Workshop on Machine Learning and Music, MML 2019; Workshop on Large-Scale Biomedical Semantic Indexing and Question Answering, BioASQ 2019. 

The chapter "Supervised Human-guided Data Exploration" is published open access under a Creative Commons Attribution 4.0 International license (CC BY).

Keywords

artificial intelligence computer hardware computer networks computer programming computer systems computer vision data mining databases engineering fuzzy sets image analysis image processing information retrieval machine learning mathematics matrix algebra network protocols neural networks signal processing telecommunication systems

Editors and affiliations

  1. 1.Institut National des Sciences AppliquéesRennesFrance
  2. 2.Maastricht UniversityMaastrichtThe Netherlands

Bibliographic information