| 2023 | A Fine-Grained Structural Partitioning Approach to Graph Compression. François Pitois, Hamida Seba, Mohammed Haddad |
| 2023 | A Non-overlapping Community Detection Approach Based on α-Structural Similarity. Motaz Ben Hassine, Saïd Jabbour, Mourad Kmimech, Badran Raddaoui, Mohamed Graiet |
| 2023 | Accounting for Imputation Uncertainty During Neural Network Training. Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem |
| 2023 | Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations. Hewen Wang, Renchi Yang, Jieming Shi |
| 2023 | Attention-Based Counterfactual Explanation for Multivariate Time Series. Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi |
| 2023 | Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions. Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin |
| 2023 | Big Data Analytics and Knowledge Discovery - 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023, Proceedings Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| 2023 | 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 |
| 2023 | Contextual Shift Method (CSM). Gernot Schmitz, Daniel Wilmes, Alexander Gerharz, Daniel Horn, Emmanuel Müller |
| 2023 | DAT@Z21: A Comprehensive Multimodal Dataset for Rumor Classification in Microblogs. Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont, Camille Noûs |
| 2023 | DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition. Ke Zhang, Hengchang Liu, Siobhán Clarke |
| 2023 | DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework. Adnan Bashir, Trilce Estrada |
| 2023 | Data-driven and On-Demand Conceptual Modeling. Damianos Chatziantoniou, Verena Kantere |
| 2023 | Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? Manh Khoi Duong, Stefan Conrad |
| 2023 | Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables. Kaoru Shimada, Shogo Matsuno, Shota Saito |
| 2023 | EXOS: Explaining Outliers in Data Streams. Egawati Panjei, Le Gruenwald |
| 2023 | Exploring Dialog Act Recognition in Open Domain Conversational Agents. Maliha Sultana, Osmar R. Zaïane |
| 2023 | FLOWER: Viewing Data Flow in ER Diagrams. Elijah Mitchell, Nabila Berkani, Ladjel Bellatreche, Carlos Ordonez |
| 2023 | Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record. Xin Huang, Xiangyang Meng, Ni Zhao, Wenbin Zhang, Jianwu Wang |
| 2023 | Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster. Kosuke Wakasugi, Futo Yamamoto, Yu Suzuki, Akiyo Nadamoto |
| 2023 | HKS: Efficient Data Partitioning for Stateful Streaming. Adeel Aslam, Giovanni Simonini, Luca Gagliardelli, Angelo Mozzillo, Sonia Bergamaschi |
| 2023 | Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. Ali Taghibakhshi, Mingyuan Ma, Ashwath Aithal, Onur Yilmaz, Haggai Maron, Matthew West |
| 2023 | Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities. Kazuya Nagasato, Satoshi Takabe, Kazuyuki Shudo |
| 2023 | Improving Stochastic Gradient Descent Initializing with Data Summarization. Robin Varghese, Carlos Ordonez |
| 2023 | Inter-item Time Intervals in Sequential Patterns. Thomas Kastner, Hubert Cardot, Dominique H. Li |
| 2023 | Motif Alignment for Time Series Data Augmentation. Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2023 | Preventing Technical Errors in Data Lake Analyses with Type Theory. Alexis Guyot, Éric Leclercq, Annabelle Gillet, Nadine Cullot |
| 2023 | RODD: Robust Outlier Detection in Data Cubes. Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn |
| 2023 | Random Hypergraph Model Preserving Two-Mode Clustering Coefficient. Rikuya Miyashita, Kazuki Nakajima, Mei Fukuda, Kazuyuki Shudo |
| 2023 | State-Transition-Aware Anomaly Detection Under Concept Drifts. Bin Li, Emmanuel Müller |
| 2023 | Supervised Hybrid Model for Rumor Classification: A Comparative Study of Machine and Deep Learning Approaches. Mehzabin Sadat Aothoi, Samin Ahsan, Najeefa Nikhat Choudhury, Annajiat Alim Rasel |
| 2023 | Supporting Big Healthcare Data Management and Analytics: The Cloud-Based QFLS Framework. Alfredo Cuzzocrea, Selim Soufargi |
| 2023 | The Synergies of Context and Data Aging in Recommendations. Anna Dalla Vecchia, Niccolò Marastoni, Barbara Oliboni, Elisa Quintarelli |
| 2023 | UniCausal: Unified Benchmark and Repository for Causal Text Mining. Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng |
| 2023 | Unified Views for Querying Heterogeneous Multi-model Polystores. Lea El Ahdab, Olivier Teste, Imen Megdiche, André Péninou |
| 2023 | Using Ontologies as Context for Data Warehouse Quality Assessment. Camila Sanz, Adriana Marotta |
| 2023 | Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining. Priscile Audrey Fongue Assondji, Jerry Lonlac, Norbert Tsopzé |