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A study on algorithm for mining Subgraph in thinking maps

  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Currently, Thinking Maps(TM) which includes eight kinds of sub graphs, has been a set of popular visual tools for learners to achieve the tasks of inductive and deductive thinking, dialogical thinking, metaphorical thinking and systemic dynamic thinking. But many of the researches focus on building these sub graphs manually. In this paper, after analyzing the features of e-Learners' behaviors, a method of building One-Node-Centered Graph for Describing Qualities(ONCGDQ) and Two-Node-Centered Graph for Compare and Contrast(TNCGCC), which are two kinds of sub graphs of TM, by mining e-Learners' web logs is presented in the first time. Then, a recommendation approach based on the mined and graph-like results is designed to achieve the task of guiding study objects by cognitive strategy. Finally, the experimental results verify the validation of the proposed methods.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013
PublisherIEEE Computer Society
Pages2368-2372
Number of pages5
ISBN (Print)9780769550886
DOIs
StatePublished - 2014
Event15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013 - Zhangjiajie, Hunan, China
Duration: 13 Nov 201315 Nov 2013

Publication series

NameProceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013

Conference

Conference15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013
Country/TerritoryChina
CityZhangjiajie, Hunan
Period13/11/1315/11/13

Keywords

  • Data mining
  • Knowledge recommendation
  • One-Node-Centered Graph for Describing Qualities
  • Two-Node-Centered Graph for Compare and Contrast

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