Studies on Distributing Educational Contents using Mobile Agents

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We develop a semi-structured data expression for educational contents which mainly consist of textual information. By extending association rule mining, we develop a new mining method that extracts effective rules for identifying authorship of contents. We then provide a mechanism that avoids an illegal use of contexts. We also develop a method that data-mines access patterns of contents, which are used for recommendations of useful contents. We finally develop a system that integrates these methods on the basis of agent technologies.