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New Trends in Database and Information Systems

ADBIS 2021 Short Papers, Doctoral Consortium and Workshops: DOING, SIMPDA, MADEISD, MegaData, CAoNS, Tartu, Estonia, August 24-26, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Ladjel Bellatreche

    1. LIAS/ISAE-ENSMA, Chasseneuil-du-Poitou, France

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  2. Marlon Dumas

    1. University of Tartu, Tartu, Estonia

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  3. Panagiotis Karras

    1. Aarhus University, Aarhus, Denmark

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  4. Raimundas Matulevičius

    1. University of Tartu, Tartu, Estonia

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  5. Ahmed Awad

    1. University of Tartu, Tartu, Estonia

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  6. Matthias Weidlich

    1. Humboldt-Universität zu Berlin, Berlin, Germany

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  7. Mirjana Ivanović

    1. University of Novi Sad, Novi Sad, Serbia

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  8. Olaf Hartig

    1. Linköping University, Linköping, Sweden

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1450)

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Conference proceedings info: ADBIS 2021.

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About this book

This book constitutes thoroughly reviewed and selected short papers presented at the 25th East-European Conference on Advances in Databases and Information Systems, ADBIS 2021, as well as papers presented at doctoral consortium and ADBIS 2021 workshops. Due to the COVID-19 the conference and satellite events were held in hybrid mode. 

The 11 full papers and 18 short papers were carefully reviewed and selected from 97 total submissions. This volume presents the papers that have been accepted for the following satellite events: Workshop on Intelligent Data - From Data to Knowledge, DOING 2021; International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2021; Workshop on Modern Approaches in Data Engineering and Information System Design, MADEISD 2021; Workshop on Advances in Data Systems Management, Engineering, and Analytics, MegaData 2021; Workshop on Computational Aspects of Network Science, CAoNS 2021; Doctoral Consortium. 




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Table of contents (29 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. ADBIS 2021 Short Papers

    1. Front Matter

      Pages 1-1
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    2. Learned What-If Cost Models for Autonomous Clustering

      • Daniel Lindner, Alexander Löser, Jan Kossmann
      Pages 3-13

    3. Cost-Sensitive Predictive Business Process Monitoring

      • Martin Käppel, Stefan Jablonski, Stefan Schönig
      Pages 14-26

    4. A Hybrid Data Model and Flexible Indexing for Interactive Exploration of Large-Scale Bio-science Data

      • Gajendra Doniparthi, Timo Mühlhaus, Stefan Deßloch
      Pages 27-37

    5. Relational Conditional Set Operations

      • Alexis I. Aspauza Lescano, Robson L. F. Cordeiro
      Pages 38-49

    6. GASP: Graph-Based Approximate Sequential Pattern Mining for Electronic Health Records

      • Wenqin Dong, Eric W. Lee, Vicki Stover Hertzberg, Roy L. Simpson, Joyce C. Ho
      Pages 50-60

    7. Semi-synthetic Data and Testbed for Long-Distance E-Vehicle Routing

      • Andrius Barauskas, Agnė Brilingaitė, Linas Bukauskas, Vaida Čeikutė, Alminas Čivilis, Simonas Šaltenis
      Pages 61-71Open Access

    8. Looking for COVID-19 Misinformation in Multilingual Social Media Texts

      • Raj Ratn Pranesh, Mehrdad Farokhnejad, Ambesh Shekhar, Genoveva Vargas-Solar
      Pages 72-81

    9. Semantic Discovery from Sensors and Image Data for Real-Time Spatio-Temporal Emergency Monitoring

      • Ilia Triapitcin, Ajantha Dahanayake, Bernhard Thalheim
      Pages 82-92

  3. ADBIS 2021 Workshop: Intelligent Data – From Data to Knowledge – DOING

    1. Front Matter

      Pages 93-96
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    2. Standard Matching-Choice Expressions for Defining Path Queries in Graph Databases

      • Ciro Medeiros, Umberto Costa, Martin Musicante
      Pages 97-108

    3. COVID-19 Portal: Machine Learning Techniques Applied to the Analysis of Judicial Processes Related to the Pandemic

      • Ana Sodré, Dimmy Magalhães, Luis Floriano, Aurora Pozo, Carmem Hara, Sidnei Machado
      Pages 109-120

    4. LACLICHEV: Exploring the History of Climate Change in Latin America Within Newspapers Digital Collections

      • Genoveva Vargas-Solar, José-Luis Zechinelli-Martini, Javier A. Espinosa-Oviedo, Luis M. Vilches-Blázquez
      Pages 121-132

    5. Public Health Units - Exploratory Analysis for Decision Support

      • Tatiane Lautert, Nádia P. Kozievitch, Ismael Villanueva-Miranda, Monika Akbar
      Pages 133-138

    6. The Formal-Language-Constrained Graph Minimization Problem

      • Ciro Medeiros, Martin Musicante, Mirian Halfeld-Ferrari
      Pages 139-145

    7. Interpreting Decision-Making Process for Multivariate Time Series Classification

      • Rufat Babayev, Lena Wiese
      Pages 146-152

  4. ADBIS 2021 Workshop: Data-Driven Process Discovery and Analysis – SIMPDA

    1. Front Matter

      Pages 153-156
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    2. Process Mining Encoding via Meta-learning for an Enhanced Anomaly Detection

      • Gabriel Marques Tavares, Sylvio Barbon Junior
      Pages 157-168

    3. OCEL: A Standard for Object-Centric Event Logs

      • Anahita Farhang Ghahfarokhi, Gyunam Park, Alessandro Berti, Wil M. P. van der Aalst
      Pages 169-175
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Other volumes

  1. Advances in Databases and Information Systems

  2. New Trends in Database and Information Systems

Editors and Affiliations

  • LIAS/ISAE-ENSMA, Chasseneuil-du-Poitou, France

    Ladjel Bellatreche

  • University of Tartu, Tartu, Estonia

    Marlon Dumas, Raimundas Matulevičius, Ahmed Awad

  • Aarhus University, Aarhus, Denmark

    Panagiotis Karras

  • Humboldt-Universität zu Berlin, Berlin, Germany

    Matthias Weidlich

  • University of Novi Sad, Novi Sad, Serbia

    Mirjana Ivanović

  • Linköping University, Linköping, Sweden

    Olaf Hartig

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