Abstract
Data mining tools generally deal with highly structured and precise data. However, classical methods fail to handle imprecise or uncertain information. This paper proposes a neuro-fuzzy data mining approach which provides a means to deal with the uncertainty of data. This presents a location-based service collaboration framework and uses the neuro-fuzzy algorithm for data mining. It also introduces the user-profile frequency count (UFC) function to determine the relevance of the information to mobile users. The result of using neuro-fuzzy system provides comprehensive and highly accurate rules.
This research was supported by grant R01-2006-000-10147-0 from the Basic Research Program of the Korea Science and Engineering Foundation.
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Mateo, R.M.A., Lee, M., Joo, SC., Lee, J. (2006). Location-Aware Data Mining for Mobile Users Based on Neuro-fuzzy System. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_158
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DOI: https://doi.org/10.1007/11881599_158
Publisher Name: Springer, Berlin, Heidelberg
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