Big Data Analytics and Knowledge Discovery

1. Front Matter

   Pages i-xiii

   PDF

2. Text Analytics

   1. Front Matter

      Pages 1-1

      PDF

   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

      PDF

   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

      PDF

   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

      PDF

   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

      PDF

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.

• artificial intelligence
• big data
• computer hardware
• computer networks
• computer science
• computer systems
• correlation analysis
• data mining
• databases
• digital storage
• education
• engineering
• information management
• internet
• knowledge-based system
• learning
• machine learning
• mathematics
• signal processing
• World Wide Web

• 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