Context-aware Collaborative Data Stream Mining in Ubiquitous Devices

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

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 → …

Cite this

DEE Group Author, & Sousa, P. A. D. C. (2011). Context-aware Collaborative Data Stream Mining in Ubiquitous Devices. In Analyzing and Understanding Complex Systems (pp. 22-33)
DEE Group Author ; Sousa, Pedro Alexandre da Costa. / Context-aware Collaborative Data Stream Mining in Ubiquitous Devices. Analyzing and Understanding Complex Systems. 2011. pp. 22-33
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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.",
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year = "2011",
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DEE Group Author & Sousa, PADC 2011, Context-aware Collaborative Data Stream Mining in Ubiquitous Devices. in Analyzing and Understanding Complex Systems. pp. 22-33, Proceedings of the 10th International Symposium, IDA, 1/01/11.

Context-aware Collaborative Data Stream Mining in Ubiquitous Devices. / DEE Group Author ; Sousa, Pedro Alexandre da Costa.

Analyzing and Understanding Complex Systems. 2011. p. 22-33.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - 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.

AB - 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.

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BT - Analyzing and Understanding Complex Systems

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DEE Group Author, Sousa PADC. Context-aware Collaborative Data Stream Mining in Ubiquitous Devices. In Analyzing and Understanding Complex Systems. 2011. p. 22-33