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An Associative Class Set Generation Method for supporting Location-based Services  

김호숙 (동의공업대학 컴퓨터정보계열)
용환승 (이화여자대학교 컴퓨터학과)
Publication Information
Journal of KIISE:Databases / v.31, no.3, 2004 , pp. 287-296 More about this Journal
Abstract
Recently, various location-based services are becoming very popular in mobile environments. In this paper, we propose a new concept of a frequent item set, called “associative class set”, for supporting the location-based service which uses a large quantity of a spatial database in mobile computing environments, and then present a new method for efficiently generating the associative class set. The associative class set is generated with considering the temporal relation of queries, the spatial distance of required objects, and access patterns of users. The result of our research can play a fundamental role in efficiently supporting location-based services and in overcoming the limitation of mobile environments. The associative class set can be applied by a recommendation system of a geographic information system in mobile computing environments, mobile advertisement, city development planning, and client cache police of mobile users.
Keywords
mobile computing; location-based services; frequent item set; association rule; spatio- temporal clustering;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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