Location-Aware Data Mining for Mobile Users Based on Neuro-fuzzy System

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.

• Type: Conference
• Year: 2006
• Where: FSKD
• Authors: Romeo Mark A. Mateo, Malrey Lee, Su-Chong Joo, Jaewan Lee
• Keywords: Data Mining, FSKD 2006, Fuzzy Logic, Neuro-fuzzy, Neuro-fuzzy Data Mining