Providing location information in a ubiquitous computing environment (panel session)
SOSP '93 Proceedings of the fourteenth ACM symposium on Operating systems principles
The computer for the 21st century
ACM SIGMOBILE Mobile Computing and Communications Review - Special issue dedicated to Mark Weiser
Data Warehousing, Data Mining, and Olap
Data Warehousing, Data Mining, and Olap
RHist: adaptive summarization over continuous data streams
Proceedings of the eleventh international conference on Information and knowledge management
A Middleware Infrastructure for Active Spaces
IEEE Pervasive Computing
Challenges in Ubiquitous Data Management
Informatics - 10 Years Back. 10 Years Ahead.
An architecture for privacy-sensitive ubiquitous computing
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Towards Using Data Aggregation Techniques in Ubiquitous Computing Environments
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Context summarization and garbage collecting context
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
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Ubiquitous computing systems are connected with a number of sensors and devices immersed in the environment, spread throughout providing proactive context aware services to users. These systems continuously receive tremendous amount of information about their environment, users and devices. Such a huge amount of information deserves special techniques for efficient modeling, storage and retrieval. In this paper we propose the modeling of context information as time series and applying the time series approximation techniques to reduce the storage space requirements and for faster query processing. We applied an algorithm based on non-linear interpolation to approximate such data and evaluated the approximation error, storage space requirements and query processing time.