All Stories

  1. A practical guide to streaming continual learning
  2. Semantic-Aware Streaming Learning for Anomalous Event Detection in Power Grids
  3. Addressing Temporal Dependence, Concept Drifts, and Forgetting in Data Streams
  4. Exploring Concept Drift Visualization and Explanation in Image Streams
  5. Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data
  6. Property Graph Stream Processing In Action with Seraph
  7. Towards time-evolving analytics: Online learning for time-dependent evolving data streams
  8. Streaming Linked Data
  9. cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series
  10. Exercise Book
  11. General Introduction
  12. Preliminaries
  13. Streaming Linked Data Life Cycle
  14. Taming Variety and Velocity
  15. Web Stream Processing Systems and Benchmarks
  16. An extensive study of C-SMOTE, a Continuous Synthetic Minority Oversampling Technique for Evolving Data Streams
  17. Accepted Tutorials at The Web Conference 2022
  18. VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams
  19. Predict COVID-19 Spreading With C-SMOTE
  20. Supporting an Expert-centric Process of New Product Introduction With Statistical Machine Learning
  21. The Kaiju project
  22. A First Step Towards a Streaming Linked Data Life-Cycle
  23. Relevant Query Answering over Streaming and Distributed Data
  24. Continuous top-k approximated join of streaming and evolving distributed data
  25. C-Sprite
  26. An Outlook to Declarative Languages for Big Steaming Data
  27. Continuous Analytics of Web Streams
  28. Streaming MASSIF: Cascading Reasoning for Efficient Processing of IoT Data Streams
  29. Cost-Aware Streaming Data Analysis
  30. A survey fo 10 years of Stream reasoning and some outlooks
  31. Using Rank Aggregation in Continuously Answering SPARQL Queries on Streaming and Quasi-static Linked Data
  32. Extracting Emerging Knowledge from Social Media
  33. Web Information Retrieval