Summary
Recent spread of different data broadcasting services leads to provide enormous and various heterogeneous data. Since data that a client needs are a part of them, there has been an increasing interest in information filtering techniques where a client automatically chooses and stores the necessary data. Generally, when a client performs filtering, it applies some filters sequentially, and the time required for filtering changes according to the order of filters. On the other hand, in recent years, there have been many studies about attractor selection which is an autonomous parameter control technique based on the knowledge from living organisms. In this chapter, in order to reduce the load for filtering, we propose novel methods which adaptively change the order of filters according to the change in broadcast contents. These methods adaptively decide the control parameters for filtering by using attractor selection.
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References
Acharya, S., Alonso, R., Franklin, M., and Zdonik, S.: Broadcast disks: Data management for asymmetric communication environments, in Proceedings of ACM SIGMOD 1995, pp. 199–210, May 1995.
Aksoy, D. and Franklin, M.: Scheduling for large-scale on-demand data broadcasting, in Proceedings of IEEE The Conference on Computer Communications (INFOCOM 1998), pp. 651–659, Mar. 1998.
Belkin, N. J. and Croft, W. B.: Information filtering and information retrieval: Two sides of the same coin? Communications of the ACM, Vol. 35, No. 12, pp. 29–38, 1992.
Bell, T. A. H. and Moffat, A.: The design of a high performance information filtering system, in Proceedings of SIGIR 1996, pp. 12–20, Aug. 1996.
Brooks, B. R., Bruccoleri, R. E., Olafson, B. D., States, D. J., Swaminathan, S., and Karplus, M.: CHARMM: A program for macromolecular energy, minimization, and dynamics calculations, Journal of Computational Chemistry, Vol. 4, pp. 187–217, 1983.
Goldberg, D. E.: Genetic algorithms in search, optimization and machine learning, Communications of the ACM, Vol. 35, No. 12, pp. 29–38, 1992.
Haykin, S.: Neural Networks: A Comprehensive Foundation, Addison-Wesley, Reading, 1989.
Kashiwagi, A., Urabe, I., Kaneko, K., and Yomo, T.: Adaptive response of a gene network to environmental changes by fitness-induced attractor selection, PLoS ONE, Vol. 1, No. 1, e49, Dec. 2006.
Kitajima, S., Hara, T., Terada, T., and Nishio, S.: Filtering order adaptation based on attractor selection for data broadcasting system, in Proceedings of International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2009), pp. 319–326, Mar. 2009.
Kirkpatrick, S., Gelatt, C. D., and Vecchi, M. P.: Optimization by simulated annealing, Science, Vol. 220, No. 4598, pp. 671–680, 1983.
Lee, R. C. T.: Fuzzy logic and the resolution principle, Journal of the ACM, Vol. 19, No. 1, pp. 109–119, 1972.
Leibnitz, K., Wakamiya, N., and Murata, M.: Biologically inspired adaptive multi-path routing in overlay networks, in Proceedings of IFIP/IEEE International Workshop on Self-Managed Systems & Services (SelfMan 2005), (CD-ROM), May 2005.
Leibnitz, K., Furusawa, C., Murata, M.: On attractor perturbation through system-inherent fluctuations and its response, in Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA 2009), (CD-ROM), Oct. 2009.
Salton, G. and McGill, M. J.: Introduction to Modern Information Retrieval, McGraw-Hill, New York, 1983.
Sawai, R., Tsukamoto, M., Terada, T., and Nishio, S.: Composition order of filtering functions for information filtering, in Proceedings of International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2004), pp. 166–171, Jan. 2004.
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Kitajima, S., Hara, T., Terada, T., Nishio, S. (2010). Filtering Order Adaptation Based on Attractor Selection for Data Broadcasting System. In: Xhafa, F., Barolli, L., Papajorgji, P. (eds) Complex Intelligent Systems and Their Applications. Springer Optimization and Its Applications, vol 41. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1636-5_8
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