All Stories

  1. A scalable and practical graph-based machine learning framework for detecting money laundering
  2. Sustainable Traffic Flow Prediction using Contrastive Learning and Spatial Encoding
  3. Autoencoder-based Continual Outlier Correlation Detection for Real-Time Traffic Flow Prediction
  4. Efficient memory utilization in conformance checking of process event streams
  5. What averages do not tell
  6. Optimizing customer journey using process mining and sequence-aware recommendation
  7. Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering
  8. Understanding the bigger picture
  9. Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining
  10. Using internal evaluation measures to validate the quality of diverse stream clustering algorithms
  11. A geometric approach for mining sequential patterns in interval-based data streams
  12. I-HASTREAM: Density-Based Hierarchical Clustering of Big Data Streams and Its Application to Big Graph Analytics Tools
  13. Efficient Query Processing in 3D Motion Capture Gesture Databases
  14. Clustering Big Data streams: recent challenges and contributions
  15. Efficient Process Discovery From Event Streams Using Sequential Pattern Mining
  16. Efficient Query Processing in 3D Motion Capture Databases via Lower Bound Approximation of the Gesture Matching Distance
  17. Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases
  18. Internal Clustering Evaluation of Data Streams
  19. Parallel Density-Based Stream Clustering Using a Multi-user GPU Scheduler
  20. Spatiotemporal Similarity Search in 3D Motion Capture Gesture Streams
  21. Subspace clustering of data streams: new algorithms and effective evaluation measures
  22. Subspace anytime stream clustering
  23. (k, d)-core anonymity
  24. Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering
  25. Adaptive Multiple-Resolution Stream Clustering
  26. Parallel Implementation of a Density-Based Stream Clustering Algorithm Over a GPU Scheduling System
  27. Subspace MOA: Subspace Stream Clustering Evaluation Using the MOA Framework
  28. Effective Evaluation Measures for Subspace Clustering of Data Streams
  29. Differential Private Trajectory Obfuscation
  30. Using a Multitasking GPU Environment for Content-Based Similarity Measures of Big Data
  31. Differential private trajectory protection of moving objects
  32. Density-Based Projected Clustering of Data Streams
  33. Resource-Aware Distributed Clustering of Drifting Sensor Data Streams
  34. BT* – An Advanced Algorithm for Anytime Classification
  35. Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams
  36. Precise anytime clustering of noisy sensor data with logarithmic complexity
  37. EDISKCO