5. MLPro-OA - Online Adaptivity

• 5.1. Overview
• 5.2. Online-Adaptive Data Stream Processing (OADSP)
  • 5.2.1. Overview
  • 5.2.2. Adaptive Preprocessing
    • 5.2.2.1. Overview
    • 5.2.2.2. Boundary detection
    • 5.2.2.3. Online-adaptive normalization
    • 5.2.2.4. Hybrid preprocessing workflows
  • 5.2.3. Online Cluster Analysis
    • 5.2.3.1. Overview
    • 5.2.3.2. ClusterActions: common cluster-analysis API
    • 5.2.3.3. ClusterInfrastructure: reusable cluster handling
    • 5.2.3.4. ClusterAnalyzer: adaptive stream-task integration
    • 5.2.3.5. Benchmarking with native BF-Streams
    • 5.2.3.6. Cluster model and properties
    • 5.2.3.7. Forward and reverse adaptation
    • 5.2.3.8. Interoperability
  • 5.2.4. Change Detection
    • 5.2.4.1. Overview
    • 5.2.4.2. The Change object
    • 5.2.4.3. Anomaly detection
    • 5.2.4.4. Drift detection
    • 5.2.4.5. Event-driven processing
    • 5.2.4.6. Observation and history
  • 5.2.5. Auxiliary Functionality
    • 5.2.5.1. Online Statistics
    • 5.2.5.2. Observation and Helpers
• 5.3. Online-Adaptive Closed-Loop Control
  • 5.3.1. Overview
  • 5.3.2. Pool objects
    • 5.3.2.1. Online-adaptive controllers