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A Visualization Method in Virtual Educational System

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Frontier and Future Development of Information Technology in Medicine and Education

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 269))

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Abstract

We present a visualization-based knowledge expression approach for virtual educational system in this paper. Our method allows teachers and students to understand complex algorithms and procedures more intuitively and conveniently during the process of teaching and learning. We take the decision tree and the random forest algorithm in the field of Data mining as examples in this paper. In our method, the decision tree is represented by a virtual 3D tree model that both the structure and the classification results can be showed clearly. In addition, random forest is represented by a group of virtual 3D trees and their positions denote the similarity between the decision trees. We also provide several user-interaction tools in our system. The tools help users to browse the forest, select a tree, delete a tree and even see the detail information of the decision tree. The effective and understandable results show the feasibility of applying visualization method in virtual educational system.

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Acknowledgments

This work is supported by National Natural Science Foundation of P.R.China under Grant Nos. 61202225, 61272094, 61104126, Project of Shandong Province Higher Educational Science and Technology Program under Grant No. J13LN13, and Shenzhen Basic Research Foundation under Grant No. JC201105190934A.

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Correspondence to Guijuan Zhang .

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Zhang, G., Lu, D., Liu, H. (2014). A Visualization Method in Virtual Educational System. In: Li, S., Jin, Q., Jiang, X., Park, J. (eds) Frontier and Future Development of Information Technology in Medicine and Education. Lecture Notes in Electrical Engineering, vol 269. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7618-0_41

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  • DOI: https://doi.org/10.1007/978-94-007-7618-0_41

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7617-3

  • Online ISBN: 978-94-007-7618-0

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