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ORCID24th DaWaK 2022
- Robert Wrembel
, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil:
Big Data Analytics and Knowledge Discovery - 24th International Conference, DaWaK 2022, Vienna, Austria, August 22-24, 2022, Proceedings. Lecture Notes in Computer Science 13428, Springer 2022, ISBN 978-3-031-12669-7
Text Analytics
- Yi-Hang Tsai, Chia-Ming Chang, Kun-Hsiang Chen, San-Yih Hwang:
An Integration of TextGCN and Autoencoder into Aspect-Based Sentiment Analysis. 3-16 - Justin Wood, Nicholas J. Matiasz, Alcino J. Silva, William Hsu, Alexej Abyzov, Wei Wang:
OpBerg: Discovering Causal Sentences Using Optimal Alignments. 17-30 - Recep Firat Cekinel, Pinar Karagoz:
Text-Based Causal Inference on Irony and Sarcasm Detection. 31-45 - Maciej Hercog, Piotr Jaronski, Jan Kolanowski, Pawel Mieczynski, Dawid Wisniewski, Jedrzej Potoniec:
Sarcastic RoBERTa: A RoBERTa-Based Deep Neural Network Detecting Sarcasm on Twitter. 46-52 - Darius Galis, Ciprian Pungila, Viorel Negru:
A Fast NDFA-Based Approach to Approximate Pattern-Matching for Plagiarism Detection in Blockchain-Driven NFTs. 53-58
Data Warehousing and OLAP
- Akrivi Vlachou, Christos Doulkeridis, João B. Rocha-Junior, Kjetil Nørvåg:
On Decisive Skyline Queries. 61-73 - Mohamed Kechar, Ladjel Bellatreche:
Safeness: Suffix Arrays Driven Materialized View Selection Framework for Large-Scale Workloads. 74-86 - Lisana Berberi:
A Process Warehouse for Process Variants Analysis. 87-93
Feature Selection Algorithms
- Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller:
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. 97-111 - Tianqi Ji, Xizhi Guo, Yunqian Li, Dan Li, Jun Li, Jianhua Xu:
Multi-label Online Streaming Feature Selection Algorithms via Extending Alpha-Investing Strategy. 112-124 - Ginel Dorleon, Imen Megdiche, Nathalie Bricon-Souf, Olivier Teste:
Feature Selection Under Fairness and Performance Constraints. 125-130
Time Series Processing
- Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher:
Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines. 133-148 - Jing Qi, Girvan Burnside, Frans Coenen:
Pathology Data Prioritisation: A Study Using Multi-variate Time Series. 149-162 - David Muhr, Michael Affenzeller:
Outlier/Anomaly Detection of Univariate Time Series: A Dataset Collection and Benchmark. 163-169
Schema Discovery and Construction
- Yuzhao Yang, Fatma Abdelhédi, Jérôme Darmont, Franck Ravat, Olivier Teste:
Automatic Machine Learning-Based OLAP Measure Detection for Tabular Data. 173-188 - Saïd Jabbour, Mourad Kmimech, Badran Raddaoui:
Discovering Overlapping Communities Based on Cohesive Subgraph Models over Graph Data. 189-201 - Morteza Alipour Langouri, Fei Chiang:
Discovery of Keys for Graphs. 202-208 - Chahrazed B. Bachir Belmehdi, Abderrahmane Khiat, Nabil Keskes:
OPTIMA: Framework Selecting Optimal Virtual Model to Query Large Heterogeneous Data. 209-215
Pattern Discovery
- Thomas J. Czubryt, Carson K. Leung, Adam G. M. Pazdor:
Q-VIPER: Quantitative Vertical Bitwise Algorithm to Mine Frequent Patterns. 219-233 - Evan W. R. Madill, Carson K. Leung, Justin M. Gouge:
Enhanced Sliding Window-Based Periodic Pattern Mining from Dynamic Streams. 234-240 - Niccolò Marastoni, Barbara Oliboni, Elisa Quintarelli:
Explainable Recommendations for Wearable Sensor Data. 241-246
Machine Learning
- Chenxiao Wang, Le Gruenwald, Laurent d'Orazio:
SLA-Aware Cloud Query Processing with Reinforcement Learning-Based Multi-objective Re-optimization. 249-255 - Paul O. Brown, Meng Ching Chiang, Shiqing Guo, Yingzi Jin, Carson K. Leung, Evan L. Murray, Adam G. M. Pazdor, Alfredo Cuzzocrea:
Mahalanobis Distance Based K-Means Clustering. 256-262 - Francisco José Lacueva-Pérez, Sergio Ilarri, Juan José Barriuso Vargas, Joaquín B. Ordieres Meré, Gorka Labata Lezaun, Rafael del-Hoyo:
Grapevine Phenology Prediction: A Comparison of Physical and Machine Learning Models. 263-269
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