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Big Data Analytics and Knowledge Discovery

24th International Conference, DaWaK 2022, Vienna, Austria, August 22–24, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Robert Wrembel

    1. Poznań University of Technology, Poznań, Poland

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  2. Johann Gamper

    1. Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

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  3. Gabriele Kotsis

    1. Johannes Kepler University of Linz, Linz, Austria

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  4. A Min Tjoa

    1. Vienna University of Technology, Vienna, Austria

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  5. Ismail Khalil

    1. Johannes Kepler University of Linz, Linz, Austria

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13428)

Included in the following conference series:

Conference proceedings info: DaWaK 2022.

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About this book

This volume LNCS 13428 constitutes the papers of the 24 th International Conference on Big Data Analytics and Knowledge Discovery, held in August 2022 in Vienna, Austria.

The 12 full papers presented together with 12 short papers in this volume were carefully reviewed and selected from a total of 57 submissions.
The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense. The main objectives of this event are to explore, disseminate, and exchange knowledge in these fields.

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Keywords

Table of contents (24 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Text Analytics

    1. Front Matter

      Pages 1-1
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    2. An Integration of TextGCN and Autoencoder into Aspect-Based Sentiment Analysis

      • Yi-Hang Tsai, Chia-Ming Chang, Kun-Hsiang Chen, San-Yih Hwang
      Pages 3-16

    3. OpBerg: Discovering Causal Sentences Using Optimal Alignments

      • Justin Wood, Nicholas Matiasz, Alcino Silva, William Hsu, Alexej Abyzov, Wei Wang
      Pages 17-30

    4. Text-Based Causal Inference on Irony and Sarcasm Detection

      • Recep Firat Cekinel, Pinar Karagoz
      Pages 31-45

    5. Sarcastic RoBERTa: A RoBERTa-Based Deep Neural Network Detecting Sarcasm on Twitter

      • Maciej Hercog, Piotr Jaroński, Jan Kolanowski, Paweł Mieczyński, Dawid Wiśniewski, Jedrzej Potoniec
      Pages 46-52

    6. A Fast NDFA-Based Approach to Approximate Pattern-Matching for Plagiarism Detection in Blockchain-Driven NFTs

      • Darius Galiș, Ciprian Pungilă, Viorel Negru
      Pages 53-58

  3. Data Warehousing and OLAP

    1. Front Matter

      Pages 59-59
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    2. On Decisive Skyline Queries

      • Akrivi Vlachou, Christos Doulkeridis, João B. Rocha-Junior, Kjetil Nørvåg
      Pages 61-73

    3. Safeness: Suffix Arrays Driven Materialized View Selection Framework for Large-Scale Workloads

      • Mohamed Kechar, Ladjel Bellatreche
      Pages 74-86

    4. A Process Warehouse for Process Variants Analysis

      • Lisana Berberi
      Pages 87-93

  4. Feature Selection Algorithms

    1. Front Matter

      Pages 95-95
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    2. Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data

      • Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller
      Pages 97-111

    3. Multi-label Online Streaming Feature Selection Algorithms via Extending Alpha-Investing Strategy

      • Tianqi Ji, Xizhi Guo, Yunqian Li, Dan Li, Jun Li, Jianhua Xu
      Pages 112-124

    4. Feature Selection Under Fairness and Performance Constraints

      • Ginel Dorleon, Imen Megdiche, Nathalie Bricon-Souf, Olivier Teste
      Pages 125-130

  5. Time Series Processing

    1. Front Matter

      Pages 131-131
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    2. Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines

      • Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
      Pages 133-148

    3. Pathology Data Prioritisation: A Study Using Multi-variate Time Series

      • Jing Qi, Girvan Burnside, Frans Coenen
      Pages 149-162

    4. Outlier/Anomaly Detection of Univariate Time Series: A Dataset Collection and Benchmark

      • David Muhr, Michael Affenzeller
      Pages 163-169

  6. Schema Discovery and Construction

    1. Front Matter

      Pages 171-171
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Other volumes

  1. Big Data Analytics and Knowledge Discovery

Editors and Affiliations

  • Poznań University of Technology, Poznań, Poland

    Robert Wrembel

  • Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

    Johann Gamper

  • Johannes Kepler University of Linz, Linz, Austria

    Gabriele Kotsis, Ismail Khalil

  • Vienna University of Technology, Vienna, Austria

    A Min Tjoa

Bibliographic Information

  • Book Title: Big Data Analytics and Knowledge Discovery

  • Book Subtitle: 24th International Conference, DaWaK 2022, Vienna, Austria, August 22–24, 2022, Proceedings

  • Editors: Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-12670-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-12669-7Published: 26 July 2022

  • eBook ISBN: 978-3-031-12670-3Published: 25 July 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIII, 272

  • Number of Illustrations: 19 b/w illustrations, 60 illustrations in colour

  • Topics: Statistics, general, Data Mining and Knowledge Discovery, Computer Applications, Artificial Intelligence

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