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Database and Expert Systems Applications

32nd International Conference, DEXA 2021, Virtual Event, September 27–30, 2021, Proceedings, Part I

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Christine Strauss

    1. University of Vienna, Vienna, Austria

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  2. Gabriele Kotsis

    1. Johannes Kepler University of Linz, Linz, Austria

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  3. A Min Tjoa

    1. Vienna University of Technology, Vienna, Austria

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  4. 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 12923)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: DEXA 2021.

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About this book

This two-volume set, LNCS 12923 and 12924, constitutes the thoroughly refereed proceedings of the 5th International Conference on Database and Expert Systems Applications, DEXA 2021. Due to COVID-19 pandemic, the conference was held virtually.

The 37 full papers presented together with 31 short papers in these volumes were carefully reviewed and selected from a total of 149 submissions. The papers are organized around the following topics: big data; data analysis and data modeling; data mining; databases and data management; information retrieval; prediction and decision support.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xxviii
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  3. Data Analysis and Data Modeling

    1. Front Matter

      Pages 63-63
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    2. Augmented Lineage: Traceability of Data Analysis Including Complex UDFs

      • Masaya Yamada, Hiroyuki Kitagawa, Toshiyuki Amagasa, Akiyoshi Matono
      Pages 65-77

    3. Neural Ordinary Differential Equations for the Regression of Macroeconomics Data Under the Green Solow Model

      • Zi-Yu Khoo, Kang Hao Lee, Zhibo Huang, Stéphane Bressan
      Pages 78-90

    4. A Quantum-Inspired Neural Network Model for Predictive BPaaS Management

      • Ameni Hedhli, Haithem Mezni, Lamjed Ben Said
      Pages 91-103

    5. Predicting Psychiatric Diseases Using AutoAI: A Performance Analysis Based on Health Insurance Billing Data

      • Markus Bertl, Peeter Ross, Dirk Draheim
      Pages 104-111

    6. Improving Billboard Advertising Revenue Using Transactional Modeling and Pattern Mining

      • P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal
      Pages 112-118

    7. Sarcasm Detection for Japanese Text Using BERT and Emoji

      • Yoshio Okimoto, Kosuke Suwa, Jianwei Zhang, Lin Li
      Pages 119-124

    8. Sigmalaw PBSA - A Deep Learning Model for Aspect-Based Sentiment Analysis for the Legal Domain

      • Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka
      Pages 125-137

    9. BERT-Based Sentiment Analysis: A Software Engineering Perspective

      • Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
      Pages 138-148

    10. A Stochastic Block Model Based Approach to Detect Outliers in Networks

      • Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao
      Pages 149-154

    11. Medical-Based Text Classification Using FastText Features and CNN-LSTM Model

      • Mohamed Walid Zeghdaoui, Omar Boussaid, Fadila Bentayeb, Frederik Joly
      Pages 155-167

  4. Data Mining

    1. Front Matter

      Pages 169-169
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    2. Diversified Pattern Mining on Large Graphs

      • Xin Wang, Liang Tang, Yong Liu, Huayi Zhan, Xuanzhe Feng
      Pages 171-184
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Other volumes

  1. Database and Expert Systems Applications

  2. Database and Expert Systems Applications

  3. Database and Expert Systems Applications - DEXA 2021 Workshops

Editors and Affiliations

  • University of Vienna, Vienna, Austria

    Christine Strauss

  • Johannes Kepler University of Linz, Linz, Austria

    Gabriele Kotsis, Ismail Khalil

  • Vienna University of Technology, Vienna, Austria

    A Min Tjoa

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