Context-aware collaborative data stream mining in ubiquitous devices

J. Gomes, M. Gaber, P. Sousa, E. Menasalvas

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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 system CC-Stream that allows intelligent mining and classification of time-changing data streams on-board ubiquitous devices. CC-Stream explores 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-Stream uses 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 languageEnglish
Publication statusPublished - 29 Oct 2011
EventAdvances in Intelligent Data Analysis X - Proceedings of the 10th International Symposium - Porto, Portugal
Duration: 29 Oct 201131 Oct 2011

Conference

ConferenceAdvances in Intelligent Data Analysis X - Proceedings of the 10th International Symposium
Abbreviated titleIDA 2011
Country/TerritoryPortugal
CityPorto
Period29/10/1131/10/11

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