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From Data to Models and Back

9th International Symposium, DataMod 2020, Virtual Event, October 20, 2020, Revised Selected Papers

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Juliana Bowles

    1. University of St Andrews, St Andrews, UK

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  2. Giovanna Broccia

    1. ISTI-CNR, Pisa, Italy

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    You can also search for this editor in PubMed   Google Scholar

  3. Mirco Nanni

    1. ISTI-CNR, Pisa, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12611)

Part of the book sub series: Programming and Software Engineering (LNPSE)

Included in the following conference series:

Conference proceedings info: DataMod 2020.

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Table of contents (14 papers)

  1. Front Matter

    Pages I-XII
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  2. Machine Learning

    1. Front Matter

      Pages 1-1
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    2. Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks

      • Alastair Finlinson, Sotiris Moschoyiannis
      Pages 3-17

    3. Exploring Graph-Based Neural Networks for Automatic Brain Tumor Segmentation

      • Camillo Saueressig, Adam Berkley, Elliot Kang, Reshma Munbodh, Ritambhara Singh
      Pages 18-37

    4. STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction

      • Weiguo Pian, Yingbo Wu, Ziyi Kou
      Pages 38-53

  3. Simulation-Based Approaches

    1. Front Matter

      Pages 55-55
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    2. A Simulation-Based Approach for the Behavioural Analysis of Cancer Pathways

      • Agastya Silvina, Guilherme Redeker, Thais Webber, Juliana Bowles
      Pages 57-71

    3. Discovering the Impact of Notifications on Social Network Addiction

      • Lucia Nasti, Andrea Michienzi, Barbara Guidi
      Pages 72-86

    4. A Simulation Study on Demand Disruptions and Limited Resources for Healthcare Provision

      • Juliana Bowles, Ricardo M. Czekster, Guilherme Redeker, Thais Webber
      Pages 87-103

    5. A Formal Model for Emulating the Generation of Human Knowledge in Semantic Memory

      • Antonio Cerone, Graham Pluck
      Pages 104-122Open Access

    6. Analysis of COVID-19 Data with PRISM: Parameter Estimation and SIR Modelling

      • Paolo Milazzo
      Pages 123-133

    7. A Formal Model for the Simulation and Analysis of Early Biofilm Formation

      • Antonio Cerone, Enrico Marsili
      Pages 134-151Open Access

  4. Data Mining and Processing Related Approaches

    1. Front Matter

      Pages 153-153
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    2. Query Rewriting on Path Views Without Integrity Constraints

      • Julien Romero, Nicoleta Preda, Fabian Suchanek
      Pages 155-173

    3. Evaluating Trace Encoding Methods in Process Mining

      • Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares
      Pages 174-189

    4. Semantic Annotations in Clinical Guidelines

      • Fahrurrozi Rahman, Juliana Bowles
      Pages 190-205

    5. Deriving Performance Measures of Workflow in Radiation Therapy from Real-Time Data

      • Reshma Munbodh, Kara L. Leonard, Eric E. Klein
      Pages 206-216

    6. Handshape Classification in a Reverse Dictionary of Sign Languages for the Deaf

      • Alikhan Abutalipov, Aigerim Janaliyeva, Medet Mukushev, Antonio Cerone, Anara Sandygulova
      Pages 217-226Open Access

  5. Back Matter

    Pages 227-227
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Other volumes

  1. From Data to Models and Back

Keywords

About this book

This book constitutes the refereed proceedings of the 9th International Symposium on From Data Models and Back, DataMod 2020, held virtually, in October 2020.

The 11 full papers and 3 short papers presented in this book were selected from 19 submissions. The papers are grouped in these topical sections: machine learning; simulation-based approaches, and data mining and processing related approaches.

Editors and Affiliations

  • University of St Andrews, St Andrews, UK

    Juliana Bowles

  • ISTI-CNR, Pisa, Italy

    Giovanna Broccia, Mirco Nanni

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