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| 2024 | A Novel Technique for Query Plan Representation Based on Graph Neural Nets. Baoming Chang, Amin Kamali, Verena Kantere |
| 2024 | A Study on Database Intrusion Detection Based on Query Execution Plans. Tadeusz Morzy, Maciej Zakrzewicz |
| 2024 | Ada2vec: Adaptive Representation Learning for Large-Scale Dynamic Heterogeneous Networks. Ranran Bian, R. Willem Vervoort |
| 2024 | An E-Commerce Benchmark for Evaluating Performance Trade-Offs in Document Stores. Dimitri Van Landuyt, Marie Levrau, Vincent Reniers, Wouter Joosen |
| 2024 | Analyzing a Decade of Evolution: Trends in Natural Language Processing. Richard A. A. Jonker, Tiago Melo Almeida, Sérgio Matos |
| 2024 | Anomaly Detection from Time Series Under Uncertainty. Paul Wiessner, Grigor Bezirganyan, Sana Sellami, Richard Chbeir, Hans-Joachim Bungartz |
| 2024 | Big Data Analytics and Knowledge Discovery - 26th International Conference, DaWaK 2024, Naples, Italy, August 26-28, 2024, Proceedings Robert Wrembel, Silvia Chiusano, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| 2024 | Comparison of Measures for Characterizing the Difficulty of Time Series Classification. Adam Charane, Matteo Ceccarello, Johann Gamper |
| 2024 | Creating and Querying Data Cubes in Python Using PyCube. Sigmundur Vang, Christian Thomsen, Torben Bach Pedersen |
| 2024 | Differentially-Private Neural Network Training with Private Features and Public Labels. Islam A. Monir, Gabriel Ghinita |
| 2024 | Discovering Relationships Among Properties in Wikidata Knowledge Graph. Emetis Niazmand, Maria-Esther Vidal |
| 2024 | Dynamic Time Warping for Phase Recognition in Tribological Sensor Data. Anna-Christina Glock, Johannes Fürnkranz |
| 2024 | Effective Reward Schemes for Tardiness Optimization. Lihi Idan |
| 2024 | Embedding-Based Data Matching for Disparate Data Sources. Nour Elhouda Kired, Franck Ravat, Jiefu Song, Olivier Teste |
| 2024 | Evaluation of High Sparsity Strategies for Efficient Binary Classification. Laura Erhan, Lucia Cavallaro, Mattia Andrea Antinori, Antonio Liotta |
| 2024 | Exploring Causal Chain Identification: Comprehensive Insights from Text and Knowledge Graphs. Ziwei Xu, Ryutaro Ichise |
| 2024 | Exploring Evaluation Metrics for Binary Classification in Data Analysis: the Worthiness Benchmark Concept. Mohammad Shirdel, Mario Di Mauro, Antonio Liotta |
| 2024 | FairMC Fair-Markov Chain Rank Aggregation Methods. Chiara Balestra, Antonio Ferrara, Emmanuel Müller |
| 2024 | IDAGEmb: An Incremental Data Alignment Based on Graph Embedding. Oumaima El Haddadi, Max Chevalier, Bernard Dousset, Ahmad El Allaoui, Anass El Haddadi, Olivier Teste |
| 2024 | Improving Serendipity for Collaborative Metric Learning Based on Mutual Proximity. Taichi Nakashima, Hanxiong Chen, Kazutaka Furuse |
| 2024 | Incremental SMOTE with Control Coefficient for Classifiers in Data Starved Medical Applications. Wan D. Bae, Shayma Alkobaisi, Siddheshwari Bankar, Sartaj Bhuvaji, Jay Singhvi, Madhuroopa Irukulla, William McDonnell |
| 2024 | LSiX: A Scheme for Efficient Multiple Continuous Window Aggregation Over Streams. Shun Kawakami, Savong Bou, Toshiyuki Amagasa |
| 2024 | Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry. Michael Mayr, Georgios C. Chasparis, Josef Küng |
| 2024 | LiteSelect: A Lightweight Adaptive Learning Algorithm for Online Index Selection. Xiaoying Wu, Senyang Wang, Xin Liu, Dimitri Theodoratos, Md Rakibul Hasan |
| 2024 | MultiMatch: Low-Resource Generalized Entity Matching Using Task-Conditioned Hyperadapters in Multitask Learning. John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono |
| 2024 | NADA: NMF-Based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-Files. Sabrina Luftensteiner, Patrick Praher, Nicole Schwarz |
| 2024 | Open-Source Drift Detection Tools in Action: Insights from Two Use Cases. Rieke Müller, Mohamed Abdelaal, Davor Stjelja |
| 2024 | Putting Co-Design-Supporting Data Lakes to the Test: An Evaluation on AEC Case Studies. Melanie Herschel, Andreas Gienger, Anja Patricia Regina Lauer, Charlotte Stein, Lior Skoury, Nico Lässig, Carsten Ellwein, Alexander Verl, Thomas Wortmann, Cristina Tarín-Sauer |
| 2024 | QPAVE: A Multi-task Question Answering Approach for Fine-Grained Product Attribute Value Extraction. Kassem Sabeh, Mouna Kacimi, Johann Gamper |
| 2024 | Series2Graph++: Distributed Detection of Correlation Anomalies in Multivariate Time Series. Phillip Wenig, Thorsten Papenbrock |
| 2024 | Subtree Similarity Search Based on Structure and Text. Takuya Mizokami, Savong Bou, Toshiyuki Amagasa |
| 2024 | Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF. Anli Ji, Chetraj Pandey, Berkay Aydin |
| 2024 | Towards Regional Explanations with Validity Domains for Local Explanations. Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste |
| 2024 | Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques. Manh Khoi Duong, Stefan Conrad |
| 2024 | Using a Spatial Grid Model to Interpret Players Movement in Field Sports. Valerio Antonini, Michael Scriney, Alessandra Mileo, Mark Roantree |
| 2024 | Visual Transformers Meet Convolutional Neural Networks: Providing Context for Convolution Layers in Semantic Segmentation of Remote Sensing Photovoltaic Imaging. Jose Alejandro Libreros, Muhammad Hamza Shafiq, Edwin Gamboa, Martin Cleven, Matthias Hirth |