Location-aware Data mining based on Neuro- fuzzy System (LoDaM)
نویسندگان
چکیده
요 약 Intelligent and adaptive services for mobile users are researchable topics nowadays to be able to provide the mobile user an immediate knowledge of the location. This research work presents a framework for collaborative location-based services and uses data mining approach based on neuro-fuzzy system. The proposed framework supports data mining for knowledge discovery to location information in mobile environment. The neuro-fuzzy data mining approach deals with uncertainty of data gathered from the location-based services and extract fuzzy rules which are comprehensive rules. This research proposes the user-profile frequency count (UFC) function as a pre-processing method to determine the relevance of the information to mobile users. The result of using neurofuzzy system provides comprehensive and highly accurate rules.
منابع مشابه
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 introd...
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