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Complex Event Processing Modeling by Prioritized Colored Petri Nets
IEEE Access, 2016 Complex event processing (CEP) is a technology that allows us to process and correlate large volumes of data by using event patterns, aiming at promptly detecting specific situations that could require special treatment.
Hermenegilda Macia +4 more
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Processing Complex Events in Fog-Based Internet of Things Systems for Smart Agriculture
Sensors, 2021 The recent growth of the Internet of Things’ services and applications has increased data processing and storage requirements. The Edge computing concept aims to leverage the processing capabilities of the IoT and other devices placed at the edge of the ...
Sandy F. da Costa Bezerra +3 more
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Predictive complex event processing [PDF]
Proceedings of the Fifth Balkan Conference in Informatics, 2012 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.
Lajos Jeno Fülöp +5 more
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Compliance with Environmental Regulations through Complex Geo-Event Processing
CLEI Electronic Journal, 2017 In a context of e-government, there are usually regulatory compliance requirements that support systems must monitor, control and enforce. These requirements may come from environmental laws and regulations that aim to protect the natural environment and
Federico Herrera +3 more
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From Complex Event Processing to Simple Event Processing
CoRR, 2017 Many problems in Computer Science can be framed as the computation of queries over sequences, or "streams" of data units called events. The field of Complex Event Processing (CEP) relates to the techniques and tools developed to efficiently process these queries. However, most CEP systems developed so far have concentrated on relatively narrow types of
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spChains: A Declarative Framework for Data Stream Processing in Pervasive Applications [PDF]
, 2012 Pervasive applications rely on increasingly complex streams of sensor data continuously captured from the physical world. Such data is crucial to enable applications to ``understand'' the current context and to infer the right actions to perform, be they
Bonino, Dario, Corno, Fulvio
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Real-time Public Mood Tracking of Chinese Microblog Streams with Complex Event Processing
IEEE Access, 2017 There are not many real-time public mood tracking frameworks over social media streams at present. Real-time public mood tracking over microblogs becomes necessary for further studies with low-latency requirements.
Si Shi, Dawei Jin, Goh Tiong-Thye
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Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations
Pediatric Blood &Cancer, EarlyView.ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan +18 more
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Intelligent Transportation Control based on Proactive Complex Event Processing
MATEC Web of Conferences, 2016 Complex Event Processing (CEP) has become the key part of Internet of Things (IoT). Proactive CEP can predict future system states and execute some actions to avoid unwanted states which brings new hope to intelligent transportation control.
Wang Yongheng, Geng Shaofeng, Li Qian
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Real-Time Analytics: Concepts, Architectures, and ML/AI Considerations
IEEE Access, 2023 With the advancement in intelligent devices, social media, and the Internet of Things, staggering amounts of new data are being generated, and the pace is continuously accelerating.
Weisi Chen +3 more
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