Context-aware Collaborative Data Stream Mining in Ubiquitous Devices

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Abstract

Recent advances in ubiquitous devices open an opportunity to apply new data stream mining techniques to support intelligent decision making in the next generation of ubiquitous applications. This paper motivates and describes a novel Context-aware Collaborative data stream mining systemCC-Streamthat allows intelligent mining and classification of time-changing data streams on-board ubiquitous devices.CC-Streamexplores the knowledge available in other ubiquitous devices to improve local classification accuracy. Such knowledge is associated with context information that captures the system state for a particular underlying concept.CC-Streamuses an ensemble method where the classifiers are selected and weighted based on their local accuracy for different partitions of the instance space and their context similarity in relation to the current context.
Original languageUnknown
Title of host publicationAnalyzing and Understanding Complex Systems
Pages22-33
Publication statusPublished - 1 Jan 2011
EventProceedings of the 10th International Symposium, IDA -
Duration: 1 Jan 2011 → …

Conference

ConferenceProceedings of the 10th International Symposium, IDA
Period1/01/11 → …

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