Research Of Rule Extraction And Rule Updating In Mobile Computing

With the continuous developments and extensive applications of technologies in the fields of both mobile communication and computer network, mobile computers can access kinds of network at any time and any place to get the data information they need in the near future. This special distributed computing environment is called mobile computing. More and more attention has been put on it these years.In the context of National natural scientific fund-Research of mobile decision-making theory and its support system, we will take rational analysis, classify on the data information existing abundantly in this environment after an in-depth study about the characteristics and issues of mobile computing environment, and then do some effective data mining of all kinds of data to find the potential and useful rules, which can be used by the mobile clients for decision-making.The order of our discussions' about these tasks is as follows: Firstly, we pay more attention to the characteristics and difficulties of its environment including the concept, typical system model, main challenges, mobile network connection and soft application. Secondly, according to mobile specialties of the environment we make the sort of data into four kinds: general data, time series, spatial data and time-spatial data, and present general processing of data mining. Lastly, we discuss the methods of data mining of these four kinds respectively: After the introduction of the actuality of data mining of every kind, an algorithm of rule updating based on Rough Set is given, then put forward the processing of data related to mobile users and flow chat according to characteristics of the other three kinds. It includes mining in multi-attribute time series based on shift and connect, mining in spatial associated rule based on Apriori and mining in mobile patterns of users. At the same time, we have emulations of algorithms of rale updating and time series mining with MATLAB.In mobile environment, extracting valuable information quickly through data mining provides daily decision-making support and emergency service-support for mobile users, and compact rule information compared to a great deal of original data can reduce the quantity of data translated in a radio link and can save time. Foremost, it saves the wireless resources, lightens congestion of bandwidth in wireless network, so that it will enhance the usability and high-efficiency of the whole mobile computing system. The research in this paper has broad application value in fields of military affairs emergency decision-makings medical treatments and stocks.