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Big Data Analytics and Knowledge Discovery

25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Robert Wrembel

    1. Poznań University of Technology, Poznan, 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 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 Linz, Linz, Austria

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14148)

Included in the following conference series:

Conference proceedings info: DaWaK 2023.

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About this book

This book constitutes the proceedings of the 25th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2023, which took place in Penang, Malaysia, during August 29-30, 2023.

The 18 full papers presented together with 19 short papers were carefully reviewed and selected from a total of 83 submissions.

They were organized in topical sections as follows: Data quality; advanced analytics and pattern discovery; machine learning; deep learning; and data management.

Keywords

Table of contents (36 papers)

  1. Front Matter

    Pages i-xvi
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  2. Data Quality

    1. Front Matter

      Pages 1-1
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    2. Using Ontologies as Context for Data Warehouse Quality Assessment

      • Camila Sanz, Adriana Marotta
      Pages 3-17

    3. Preventing Technical Errors in Data Lake Analyses with Type Theory

      • Alexis Guyot, Éric Leclercq, Annabelle Gillet, Nadine Cullot
      Pages 18-24

    4. EXOS: Explaining Outliers in Data Streams

      • Egawati Panjei, Le Gruenwald
      Pages 25-41

    5. Motif Alignment for Time Series Data Augmentation

      • Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi
      Pages 42-48

    6. State-Transition-Aware Anomaly Detection Under Concept Drifts

      • Bin Li, Emmanuel Müller
      Pages 49-63

    7. Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations

      • Hewen Wang, Renchi Yang, Jieming Shi
      Pages 64-79

    8. The Synergies of Context and Data Aging in Recommendations

      • Anna Dalla Vecchia, Niccolò Marastoni, Barbara Oliboni, Elisa Quintarelli
      Pages 80-87

  3. Advanced Analytics and Pattern Discovery

    1. Front Matter

      Pages 89-89
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    2. Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities

      • Kazuya Nagasato, Satoshi Takabe, Kazuyuki Shudo
      Pages 91-100

    3. Contextual Shift Method (CSM)

      • Gernot Schmitz, Daniel Wilmes, Alexander Gerharz, Daniel Horn, Emmanuel Müller
      Pages 101-106

    4. Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining

      • Audrey Fongue, Jerry Lonlac, Norbert Tsopze
      Pages 107-113

    5. Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables

      • Kaoru Shimada, Shogo Matsuno, Shota Saito
      Pages 114-119

    6. DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition

      • Ke Zhang, Hengchang Liu, Siobhán Clarke
      Pages 120-134

    7. Bitwise Vertical Mining of Minimal Rare Patterns

      • Elieser Capillar, Chowdhury Abdul Mumin Ishmam, Carson K. Leung, Adam G. M. Pazdor, Prabhanshu Shrivastava, Ngoc Bao Chau Truong
      Pages 135-141

    8. Inter-item Time Intervals in Sequential Patterns

      • Thomas Kastner, Hubert Cardot, Dominique H. Li
      Pages 142-148

    9. Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record

      • Xin Huang, Xiangyang Meng, Ni Zhao, Wenbin Zhang, Jianwu Wang
      Pages 149-157

  4. Machine Learning

    1. Front Matter

      Pages 159-159
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    2. DAT@Z21: A Comprehensive Multimodal Dataset for Rumor Classification in Microblogs

      • Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont, Camille Noûs
      Pages 161-175
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Other volumes

  1. Big Data Analytics and Knowledge Discovery

Editors and Affiliations

  • Poznań University of Technology, Poznan, Poland

    Robert Wrembel

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

    Johann Gamper

  • Johannes Kepler University 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: 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings

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

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-39831-5

  • 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 2023

  • Softcover ISBN: 978-3-031-39830-8Published: 10 August 2023

  • eBook ISBN: 978-3-031-39831-5Published: 09 August 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVI, 400

  • Number of Illustrations: 40 b/w illustrations, 107 illustrations in colour

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

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