Abstract
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.
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References
Weiser, M.: The computer for the twenty-first century. Scientific American 265, 66–75 (1991)
Dey, A.K., Abowd, G.D.: Towards a better understanding of context and context-awareness. Technical Report GIT-GVU-99-22, College of Computing, Georgia Institute of Technology (1999)
Nurmi, P., Floréen, P.: Reasoning in context-aware systems. HIIT position paper (2004), http://www.cs.helsinki.fi/u/ptnurmi/papers/contextreasoning_OnlinePDF.pdf
Moran, T.P., Dourish, P.: Introduction to special issue on context-aware computing. Human-Computer Interaction (HCI) 16, 87–96 (2001)
Winograd, T.: Architectures for context. Human-Computer Interaction (HCI) 16, 401–419 (2001)
Wallbaum, M., Dornbusch, P.: Design considerations for a platform supporting location-aware services. In: Proceedings of Multimedia, Internet Video Technologies, MIV (2001)
Yau, S.S., Karim, F., Wang, Y., Wang, B., Gupta, S.K.S.: Reconfigurable context-sensitive middleware for pervasive computing. Pervasive computing 1, 33–40 (2002)
Yau, S.S., Karim, F.: An adaptive middleware for context-sensitive communications for real-time applications in ubiquitous computing environments. Real-Time Systems 26, 29–61 (2004)
Duran-Limon, H.A., Blair, G.S., Friday, A., Grace, P., Samartzidis, G., Sivaharan, T., Wu, M.: Context-aware middleware for pervasive and ad hoc environments (2003), http://www.comp.lancs.ac.uk/computing/research/mpg/projects/cortex/archive/dmrgpublications/cortexMiddleware_OnlinePDF.pdf
Siegemund, F.: A context-aware communication platform for smart objects. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 69–86. Springer, Heidelberg (2004)
Korpipää, P., Mäntyjärvi, J., Kela, J., Keränen, H., Malm, E.-J.: Managing context information in mobile devices. Pervasive Computing 2, 42–51 (2003)
Dey, A.K., Abowd, G.D., Salber, D.: A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human-Computer Interaction (HCI) 16, 97–166 (2001)
Russel, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 1st edn. Prentice-Hall, Englewood Cliffs (1995)
Mayrhofer, R.: An Architecture for Context Prediction. PhD thesis, University of Linz (2004)
Della-Libera, G., et al.: Web Services Security Policy (2002), http://www-128.ibm.com/developerworks/webservices/library/ws-secpol/index.html
Kagal, L., Finin, T., Joshi, A.: A policy language for a pervasive computing environment. In: Proceedings of the IEEE 4th International Workshop on Policies for Distributed Systems and Networks, pp. 63–76 (2003)
World Wide Web Consortium: XML Digital Signature (2002), http://www.w3.org/TR/xmldsig-core/
World Wide Web Consortium: XML Encryption syntax and processing (2002), http://www.w3.org/TR/2002/REC-xmlenc-core-20021210/
Theodoridis, S., Koutroumbas, K.: Pattern Recognition. Academic Press, London (2004)
Quinn, A., Tesar, L.: A survey of techniques for preprocessing in high dimensional data clustering. In: Proceedings of the Cybernetic and Informatics Eurodays (2000)
Hand, D., Mannila, H., Smyth, P.: Principles of Data Mining. MIT Press, Cambridge (2001)
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Nurmi, P., Przybilski, M., Lindén, G., Floréen, P. (2005). An Architecture for Distributed Agent-Based Data Preprocessing. In: Gorodetsky, V., Liu, J., Skormin, V.A. (eds) Autonomous Intelligent Systems: Agents and Data Mining. AIS-ADM 2005. Lecture Notes in Computer Science(), vol 3505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492870_10
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DOI: https://doi.org/10.1007/11492870_10
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