Autonomous Learning Systems : From Data Streams to Knowledge in Real-time

learning systems with a systematic approach that lays the foundations for a fast growing area of research that will underpin a range of technological applications vital to both industry and society. Key features: Presents the subject systematically from explaining the fundamentals to illustrating the proposed approach with numerous applications. Covers a wide range of applications in fields including unmanned vehicles/robotics, oilrefineries, chemical industry, evolving user behaviour and activity recognition. Reviews traditional fields including clustering, classification, control, fault detection andanomaly detection, filtering and estimation through the prism of evolving and autonomously learning mechanisms. Accompanied by a website hosting additional material, including the software toolbox andlecture notes. Autonomous Learning Systems provides a â€one-stop shop' on the subject for academics, students, researchers and practicing engineers. It is also a valuable reference for Government agencies and

software developers. [Publisher's Text]

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