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ORCID25th DaWaK 2023
- Robert Wrembel
, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil:
Big Data Analytics and Knowledge Discovery - 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023, Proceedings. Lecture Notes in Computer Science 14148, Springer 2023, ISBN 978-3-031-39830-8
Data Quality
- Camila Sanz, Adriana Marotta:
Using Ontologies as Context for Data Warehouse Quality Assessment. 3-17 - Alexis Guyot, Éric Leclercq, Annabelle Gillet, Nadine Cullot:
Preventing Technical Errors in Data Lake Analyses with Type Theory. 18-24 - Egawati Panjei, Le Gruenwald:
EXOS: Explaining Outliers in Data Streams. 25-41 - Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
Motif Alignment for Time Series Data Augmentation. 42-48 - Bin Li, Emmanuel Müller:
State-Transition-Aware Anomaly Detection Under Concept Drifts. 49-63 - Hewen Wang, Renchi Yang, Jieming Shi:
Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations. 64-79 - Anna Dalla Vecchia, Niccolò Marastoni, Barbara Oliboni, Elisa Quintarelli:
The Synergies of Context and Data Aging in Recommendations. 80-87
Advanced Analytics and Pattern Discovery
- Kazuya Nagasato, Satoshi Takabe, Kazuyuki Shudo:
Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities. 91-100 - Gernot Schmitz, Daniel Wilmes, Alexander Gerharz, Daniel Horn, Emmanuel Müller:
Contextual Shift Method (CSM). 101-106 - Priscile Audrey Fongue Assondji, Jerry Lonlac, Norbert Tsopzé:
Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining. 107-113 - Kaoru Shimada, Shogo Matsuno, Shota Saito:
Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables. 114-119 - Ke Zhang, Hengchang Liu, Siobhán Clarke:
DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition. 120-134 - Elieser Capillar, Chowdhury Abdul Mumin Ishmam, Carson K. Leung, Adam G. M. Pazdor, Prabhanshu Shrivastava, Ngoc Bao Chau Truong:
Bitwise Vertical Mining of Minimal Rare Patterns. 135-141 - Thomas Kastner, Hubert Cardot, Dominique H. Li:
Inter-item Time Intervals in Sequential Patterns. 142-148 - Xin Huang, Xiangyang Meng, Ni Zhao, Wenbin Zhang, Jianwu Wang:
Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record. 149-157
Machine Learning
- Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont, Camille Noûs:
DAT@Z21: A Comprehensive Multimodal Dataset for Rumor Classification in Microblogs. 161-175 - Manh Khoi Duong, Stefan Conrad:
Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? 176-190 - Rikuya Miyashita, Kazuki Nakajima, Mei Fukuda, Kazuyuki Shudo:
Random Hypergraph Model Preserving Two-Mode Clustering Coefficient. 191-196 - Motaz Ben Hassine, Saïd Jabbour, Mourad Kmimech, Badran Raddaoui, Mohamed Graiet:
A Non-overlapping Community Detection Approach Based on α-Structural Similarity. 197-211 - Robin Varghese, Carlos Ordonez:
Improving Stochastic Gradient Descent Initializing with Data Summarization. 212-223 - Kosuke Wakasugi, Futo Yamamoto, Yu Suzuki, Akiyo Nadamoto:
Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster. 224-232 - Maliha Sultana, Osmar R. Zaïane:
Exploring Dialog Act Recognition in Open Domain Conversational Agents. 233-247 - Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng:
UniCausal: Unified Benchmark and Repository for Causal Text Mining. 248-262
Deep Learning
- Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem:
Accounting for Imputation Uncertainty During Neural Network Training. 265-280 - Mehzabin Sadat Aothoi, Samin Ahsan, Najeefa Nikhat Choudhury, Annajiat Alim Rasel:
Supervised Hybrid Model for Rumor Classification: A Comparative Study of Machine and Deep Learning Approaches. 281-286 - Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Attention-Based Counterfactual Explanation for Multivariate Time Series. 287-293 - Adnan Bashir, Trilce Estrada:
DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework. 294-302 - Ali Taghibakhshi, Mingyuan Ma, Ashwath Aithal, Onur Yilmaz, Haggai Maron, Matthew West:
Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. 303-315
Data Management
- Lea El Ahdab, Olivier Teste, Imen Megdiche, André Péninou:
Unified Views for Querying Heterogeneous Multi-model Polystores. 319-324 - Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn:
RODD: Robust Outlier Detection in Data Cubes. 325-339 - Damianos Chatziantoniou, Verena Kantere:
Data-driven and On-Demand Conceptual Modeling. 340-355 - Elijah Mitchell, Nabila Berkani, Ladjel Bellatreche, Carlos Ordonez:
FLOWER: Viewing Data Flow in ER Diagrams. 356-371 - Alfredo Cuzzocrea, Selim Soufargi:
Supporting Big Healthcare Data Management and Analytics: The Cloud-Based QFLS Framework. 372-379 - Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin:
Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions. 380-385 - Adeel Aslam, Giovanni Simonini, Luca Gagliardelli, Angelo Mozzillo, Sonia Bergamaschi:
HKS: Efficient Data Partitioning for Stateful Streaming. 386-391 - François Pitois, Hamida Seba, Mohammed Haddad:
A Fine-Grained Structural Partitioning Approach to Graph Compression. 392-397
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