Wei Wei

Work place: China University of Geosciences (Beijing), Beijing 100083, China

E-mail: weiwei@cugb.edu.cn

Website:

Research Interests: Computer Science & Information Technology, Applied computer science, Computational Science and Engineering, Computer systems and computational processes, Computer Architecture and Organization, Theoretical Computer Science, Data Structures and Algorithms

Biography

Wei Wei studies as a graduate student of computer science and engineering in the School of Information Engineering, China University of Geosciences (Beijing). She currently engages in network maintenance and software development, in China University of Geosciences (Beijing). Her research focuses on computer science and technology. 

Author Articles
The Application of Bayesian Classification Theories in Distance Education System

By Ma Da Wei Wei Hu Hai-guang Guan Jian-he

DOI: https://doi.org/10.5815/ijmecs.2011.04.02, Pub. Date: 8 Aug. 2011

With the vigorous application of distance education in recent years, the biggest challenge that the learners and managers are facing today is how to institute the training courses and choose the learning resources according to the personal characteristics of learners. It is subjective to arbitrarily decide the learning resources. This study presents a new constructional method, based on the Bayesian networks of courses relationship. This method uses the feedback of learning resources from the learners and examination results of training courses as data samples. And a new procedure is presented, joining quantitative value of RFM model and naïve Bayesian algorithm, to classify the learners and offer more support to make decision. Moreover, the experimental results demonstrate that the algorithm is efficient and accurate, and the Bayesian network method can be used in other Electronic Commerce System

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