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Discovery Science

23rd International Conference, DS 2020, Thessaloniki, Greece, October 19–21, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12323)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: DS 2020.

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Table of contents (45 papers)

  1. Dimensionality Reduction and Feature Selection

  2. Distributed Processing

  3. Ensembles

  4. Explainable and Interpretable Machine Learning

  5. Graph and Network Mining

Other volumes

  1. Discovery Science

Keywords

About this book

This book constitutes the proceedings of the 23rd International Conference on Discovery Science, DS 2020, which took place during October 19-21, 2020. The conference was planned to take place in Thessaloniki, Greece, but had to change to an online format due to the COVID-19 pandemic.

The 26 full and 19 short papers presented in this volume were carefully reviewed and selected from 76 submissions. The contributions were organized in topical sections named: classification; clustering; data and knowledge representation; data streams; distributed processing; ensembles; explainable and interpretable machine learning; graph and network mining; multi-target models; neural networks and deep learning; and spatial, temporal and spatiotemporal data.

Editors and Affiliations

  • University of Bari Aldo Moro, Bari, Italy

    Annalisa Appice

  • Aristotle University of Thessaloniki, Thessaloniki, Greece

    Grigorios Tsoumakas

  • Open University of Cyprus, Nicosia, Cyprus

    Yannis Manolopoulos

  • Dalhousie University, Halifax, Canada

    Stan Matwin

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