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- DMS: Data Mining for Service
- DMESS: Data Mining in Earth System Science
- ISAW: International Sustainable AI Workshop
- MLC: Machine Learning for Cybersecurity
- SocDM: Social Data Mining in the Post-pandemic Era
- OEDM: Optimization Based Techniques for Emerging Data Mining Problems
- SENTIRE: Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
- NeuRec: The Third International Workshop on Advanced Neural Algorithms and Theories for Recommender Systems
- DMLS: Data Mining in Learning Science
- EDMML: Evolutionary Data Mining and Machine Learning
- KG: Knowledge Graph
- ML-HOS: Machine Learning on Higher-Order Structured data
- IncrLeam: Incremental classification and clustering, concept drift, novelty detection, active learning in big/fastdatacontext
- UNIT: Urban Internet-of-Things Intelligence
- DMBIH: Data Mining in Biomedical Informatics and Healthcare
- MLoG: Machine Learning on Graphs
- AESM: Algorithms towards Ethical/Privacy challenges in Social Media recommendation systems
- FOMO-VL: Foundation Models in Vision and Language
- ARIAL: AI for Aging, Rehabilitation, and Intelligent Assisted Living
- MRL: Multi-view Representation Learning
- HDM: High Dimensional Data Mining
- UDML 2022: 5th International Workshop on Utility-Driven Mining and Learning
- DLC: Deep Learning and Clustering
- SSTDM: Spatial and Spatiotemporal Data Mining
- WAIN: AI for Nudging and Personalization
Workshop Paper Submission