Accepted Workshops

  • NeuRec: Advanced Neural Algorithms and Theories for Recommender Systems
  • SENTIRE: Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
  • DMS: Data Mining for Service
  • CLEATED: Continual Learning and Adaptation for Time Evolving Data
  • MSDM: Multi-source data mining
  • IncrLearn: Incremental classification and clustering, concept drift, novelty detection in big/fast data context
  • HDM: High Dimensional Data Mining
  • DMBIH: Data Mining in Biomedical Informatics and Healthcare
  • LITSA: Large-scale Industrial Time Series Analysis
  • UDML: Utility Driven Mining and Learning
  • MLLD: Mining and Learning in the Legal Domain
  • DLC: Deep learning and clustering
  • SSTDM: Spatial and Spatio-Temporal Data Mining
  • BSDM: Blockchain Systems for Decentralized Mining
  • EDMML: Evolutionary Data Mining and Machine Learning
  • SDM: Social Data Mining in the Post-pandemic Era
  • OEDM: Optimization Based Techniques for Emerging Data Mining Problems
  • IAAA: Intelligence-Augmented Anomaly Analytics
  • EpiMine: Mining and Policy-Making for Epidemic Surveillance
  • SFE-TSDM: Systematic Feature Engineering for Time-Series Data Mining (SFE-TSDM)
  • WAIN: Workshop on AI for Nudging
  • DMC: Data Mining and Machine Learning in¬†Cybersecurity