Wireless networks and mobile applications have grown very rapidly and have made a significant impact on computer systems. Especially, the usage of mobile phones and PDA is increased very rapidly. Added functions and values with these devices are thus greatly developed. If some regularity can be known from the user mobility behavior, then these functions and values can be further expanded and used intelligently. This paper thus attempts to mine appropriate linguistic mobility patterns for being used by mobile-system managers in future strategy planning. The location areas in which mobile users visit and their duration times can be found from the log data stored in the home-location-register module. Since the duration times are numeric, fuzzy concepts are used to process them and to form linguistic mobility patterns. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Hong, T. P., Huang, C. M., & Horng, S. J. (2005). Mining linguistic mobility patterns for wireless networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 1352–1358). Springer Verlag. https://doi.org/10.1007/11553939_188
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