Location-Aware data mining for mobile users based on neuro-fuzzy system

Authors:
Romeo Mark A. Mateo;Marley Lee;Su-Chong Joo;Jaewan Lee
Affiliations:
School of Electronic and Information Engineering, Kunsan National University, Kunsan, Chonbuk, South Korea;School of Electronic and Information Engineering, Chonbuk National University, Jeonju, Chonbuk, South Korea;School of Electrical, Electronic and Information Engineering, Wonkwang University, South Korea;School of Electronic and Information Engineering, Kunsan National University, Kunsan, Chonbuk, South Korea
Venue:
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Year:
2006

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Mobile Agent Middleware for Mobile Computing

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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.