C4.5: programs for machine learning
C4.5: programs for machine learning
ECML '95 Proceedings of the 8th European Conference on Machine Learning
The Power to Predict: How Real Time Businesses Anticipate Customer Needs, Create Opportunities, and Beat the Competition
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Identification of suspicious, unknown event patterns in an event cloud
Proceedings of the 2007 inaugural international conference on Distributed event-based systems
Complex event processing in enterprise information systems based on RFID
Enterprise Information Systems
Tuning complex event processing rules using the prediction-correction paradigm
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Predictive publish/subscribe matching
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
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Complex Event Processing deals with the detection of complex events based on rules and patterns defined by domain experts. Many complex events require real-time detection in order to have enough time for appropriate reactions. However, there are several events (e.g. credit card fraud) that should be prevented proactively before they occur, not just responded after they happened. In this paper, we briefly describe Complex Event Processing (CEP) and Predictive Analytics (PA). Afterwards, we focus on a major future direction of CEP, namely the inclusion of PA technologies into CEP tools and applications. Involving PA opens a wide range of possibilities in several application fields. However, we have observed that only few solutions apply PA techniques. In this paper, we define a conceptual framework which combines CEP and PA and which can be the basis of generic design pattern in the future. The conceptual framework is demonstrated in a proof--of--concept experiment. Finally we provide the results and lessons learned.