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The purpose of this paper is to exploit student preference and propose, discuss and experimentally validate a strategy that aims to reduce time necessary to introduce tutoring of mind mapping to environment engineering students. A survey instrument was designed and used to collect student preferences about mind mapping. Preferences were linked to alternative scenarios of mind mapping deployment. Survey responses from a 60 second-year students from the Department of Environment Engineering and Management were analyzed using conjoint analysis. The findings of this paper provide a well documented framework in addressing mind mapping technique to engineering students. The proposed framework tries to make the best use of the available time for creativity development programs, in environment engineering departments. This framework may also be applied to other creativity enhancing techniques, providing solutions for incorporating creativity in environment engineering curricula.

Existing E-Learning courses are designed to guide users acquire information or to help users undertake specific tasks. User is expected to increase proficiency about the context via the stationary computer. However, such design cannot allow multiple users to access the system simultaneously, thus leading inefficiency and lack of expandability. A framework to support M-learning in RFID system is therefore proposed. A mobile user first can use a mobile computer to communicate with home agent to acquire the related server information he may be interested in. The framework can navigate mobile agents to the mobile computer when the tag is detected within the coverage of the reader. The framework enables a mobile user to directly access his/her personalized services from the mobile computer. The experimental simulation demonstrates its efficiency.

It is proved by many studies that it is more costly to acquire than to retain customers. Consequently, evaluating current customers to keep high value customers and enhance their lifetime value becomes a critical factor to decide the success or failure of a business. This study applies data from customer and transaction databases of a department store, based on RFM model to do clustering analysis to recognize high value customer groups for cross-selling promotions.

The Internet is filled with opportunities for learning, communicating, and sharing information. It is a valuable resource for children and adults alike. Like any large community, however, the online world presents some underlying risks, especially for children. Parents need to be aware of some of the potential problems their children could encounter, and try to take adequate measures to protect their children from injury. In this paper, research will try to explore the relationship between parent’s information literary, the confidence in child’s ability of self-defense on the internet, and adequate measures to promote child using the internet more effectively. Association rules, a kind of data mining strategies, will be the main tool to manipulate the dataset. Apriori, a classic algorithm for learning association rules, is designed to operate on databases containing transactions.