[an error occurred while processing this directive]
���¿��ټ��� �߼�����
   ��ҳ  �ڿ�����  ��ί��  Ͷ��ָ��  �ڿ�����  ��������  �� �� ��  ��ϵ����
�������պ����ѧѧ�� 2009, Vol. 35 Issue (6) :771-774    DOI:
���� ����Ŀ¼ | ����Ŀ¼ | ������� | �߼����� << | >>
������, �ܲ���, ����Ӱ*
�������պ����ѧ �����ѧԺ, ���� 100191
Business end programming approach based on Bayesian network
Xing Shaomin, Zhou Bosheng, Chen Tianying*
School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

Download: PDF (0KB)   HTML 1KB   Export: BibTeX or EndNote (RIS)      Supporting Info
ժҪ ������е�ҵ��˱�̷���ȱ������û��������������������û���ָ������,�����һ�ֻ��ڱ�Ҷ˹����ҵ��˱�̷���.���������һ�ֻ��ڱ�Ҷ˹���������û���̻������,Ȼ����ڱ�Ҷ˹���ṹѧϰ�����͹�����־����������֧��ҵ��˱�̵�����ר��ϵͳ,�ڴ˻����������������ר��ϵͳΪ���ĵ�����ʽҵ��˱�̷���.�÷����ڱ�̹�������������ר��ϵͳ�������û��Ƽ�ҵ��,�ṩʵʱָ��,���������û������Ӧ��ϵͳ�Ĺ���.���Ը÷�������Ч�Խ����˶��Ե������ͷ���,�������,���ڱ�Ҷ˹����ҵ��˱�̷���������һ���̶�����������û���̵�Ч��.
Email Alert
�ؼ����� ҵ��˱��   �Զ��������   ��Ҷ˹����   ѧϰϵͳ   ����ר��ϵͳ   ������־   Web����     
Abstract�� Existing business end programming methods lack guidance for end-users without development experience. So a business end programming approach based on Bayesian network was proposed. First, a basic framework based on Bayesian network for end-users programming was presented. Then the domain expert system which is used to support the business end programming approach was established based on Bayesian structure learning method and process logs. On this basis, a heuristic method for business end programming taking domain expert system as core component was proposed. This method could recommend business activities to end-users in the process of programming relying on domain expert systems. It also provided real-time guidance and help end-users to complete programming step by step. Finally, the efficiency of the method was evaluated and analyzed, and the results show that the business end programming method based on Bayesian network could improve the efficiency of end-users programming to a certain extent.
Keywords�� business end programming   automatic programming   Bayesian networks   learning systems   domain expert systems   process logs   Web services     
Received 2008-06-04;


About author: ������(1980��),��,����������,��ʿ��,xingshaomin@cse.buaa.edu.cn.
������, �ܲ���, ����Ӱ.���ڱ�Ҷ˹����ҵ��˱�̷���[J]  �������պ����ѧѧ��, 2009,V35(6): 771-774
Xing Shaomin, Zhou Bosheng, Chen Tianying.Business end programming approach based on Bayesian network[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2009,V35(6): 771-774
http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2009/V35/I6/771
Copyright 2010 by �������պ����ѧѧ��