Anomaly Detection and Complex Event Processing Over IoT Data Streams

Part I - Fundamental concepts, models and methods
1. IoT data streams: concepts and models
2. Data stream processing: models and methods
3. Anomaly detection
4. Complex event processing
5. Rule-based decision support systems for e-health

Part II - Architectures and technological solutions
6. State of the art in technological solutions for e-health
7. IoT, edge, cloud architecture and communication protocols
8. Machine learning
9. Anomaly detection, classification and complex event processing

Part III - Case study: scalable IoT data processing and reasoning ecosystem in the field of health
10. Conceptual design: architecture
11. Technical design: data processing
12. Working procedure and analysis for an ECG dataset
13. Ethics, emerging research trends, issues and challenges

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• Inteligência artificial
• Aplicações de negócios
• Bioinformática medica
• Software Emmpresarial

eHealth; Patient Monitoring; ECG patient data stream; Anomaly Detection; Sematic Data Enrichment; Machine Learning Approaches; Hierarchical Temporal Memory and Convolutional Neural Network algorithms; IoT, Edge and Cloud Computing