Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Principles of data mining
Reconfigurable Context-Sensitive Middleware for Pervasive Computing
IEEE Pervasive Computing
A Policy Language for a Pervasive Computing Environment
POLICY '03 Proceedings of the 4th IEEE International Workshop on Policies for Distributed Systems and Networks
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
Managing Context Information in Mobile Devices
IEEE Pervasive Computing
Introduction to this special issue on context-aware computing
Human-Computer Interaction
Human-Computer Interaction
Human-Computer Interaction
Development of the Data Preprocessing Agent's Knowledge for Data Mining Using Rough Set Theory
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
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Advances in agent technologies have fueled interest towards combining agent-based techniques with tools from data mining. Furthermore, the advent of the ubiquitous computing paradigm has introduced a novel applications area, which offers new possibilities for further deepening this bond. Ubiquitous computing solutions are often designed for mobile environments, which poses additional requirements on practical solutions. Providing a distributed architecture enables the distribution of workload, while at the same time allowing the on-line processing of data. Such an architecture ensures the pervasiveness of privacy and security aspects in the overall design. In this paper we present an architecture for distributed data preprocessing in ubiquitous environments, which supports the full distribution of processing tasks and enables the encapsulation of privacy and security mechanisms within every component. As our second contribution we discuss more thoroughly the usefulness of the intelligent agent paradigm for context-aware systems.