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Multivariate sensor data analysis for oil refineries and multi-mode identification of system behavior in real-time
(IEEE, 2018)
Large-scale oil refineries are equipped with mission-critical heavy machinery (boilers, engines, turbines, and so on) and are continuously monitored by thousands of sensors for process efficiency, environmental safety, and ...
Processing nested complex sequence pattern queries over event streams
(ACM, 2010)
Complex event processing (CEP) has become increasingly important for tracking and monitoring applications ranging from healthcare, supply chain management to surveillance. These monitoring applications submit complex event ...
E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing
(ACM, 2011-06-12)
Many modern applications, including online financial feeds, tag-based mass transit systems and RFID-based supply chain management systems transmit real-time data streams. There is a need for event stream processing technology ...
Data stream analytics and mining in the cloud
(IEEE, 2012)
Due to prevalent use of sensors and network monitoring tools, big volumes of data or “big data” today traverse the enterprise data processing pipelines in a streaming fashion. While some companies prefer to deploy their ...
E-Cube: multi-dimensional event sequence processing using concept and pattern hierarchies
(IEEE, 2010)
Many modern applications including tag based mass transit systems, RFID-based supply chain management systems and online financial feeds require special purpose event stream processing technology to analyze vast amounts ...
Design and implementation of a data stream management system with advanced complex event processing capabilities
(2013-06)
The world has seen proliferation of data stream applications over the last years. These applications include computer network monitoring, Radio Frequency Identication (RFID)-based supply chain and traffic management systems, ...
A big data processing framework for self-healing internet of things applications
(IEEE, 2016)
In this study, we introduce a big data processing framework that provides self-healing capability in the Internet of Things domain. We discuss the high-level architecture of this framework and its prototype implementation. ...
Büyük veri problemlerine çözüm olarak veri akış madenciliği
(IEEE, 2013)
Günümüzde bilişim dünyası faydalı bilgiye ulaşma yolunda “büyük veri” problemleri (verinin kütlesi, hızı, çeşitliliği, tutarsızlığı) ile baş etmeye çalışmaktadır. Bu makalede, büyük veri akışları üzerinde İlişkisel Kural ...
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