On the Complex Event Identification Based on Cognitive Classification Process
Ashraf ALDabbas, Zoltán Gál · 2019
The concept of Complex Event Processing (CEP) is excessively utilized to detect bearable knowledge from the implicit data flow. CEP has stood out as a consolidating scope for the application of scientific knowledge that needs processing and linking raw sensory data. In this paper, we offer an innovative method of CEP in order to reach a mature level of processing patterns or events depending on the cognitive computing. The Cognitive Knowledge-based Event (CKE) model is an event processing and identification approach with cognitive aptness. There is a mounting necessity for methodologies to provide an interactive response for data and events stream around us at the time that CEP approach has scarcity in some scopes. We integrate cognitive reasoning with CEP and put forward the concept of classification by our proposed model and we test this method on the multidimensional Big Data set captured during thirteen years of the Cassini-Huygens space exploratory project. There is a pivotal necessity to develop an identification and training method for all scales in any functional systems that include a part of cognitive reasoning and learning process.