All Stories

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