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�������պ����ѧѧ�� 2007, Vol. 33 Issue (05) :590-593    DOI:
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Algorithm of weighted association rules mining with multiple minimum supports
Zou Likun, Zhang Qishan*
School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� A new model of weighted association rule was presented in order to solve the problem that data item have not the same importance in datasets. Based on this model, a new algorithm of mining weighted association rules with multiple minimum supports was proposed. The algorithm allows the user to specify varied minimum supports and items weights to reflect the importance and frequency of each data item in datasets .The algorithm aims to deal with problem that items have different importance and varied frequency in transaction database and find more interesting rules which involve both frequent and rare items. The correlative properties of model and algorithm were given and the theories were proved. Finally, the algorithm was tested on the experimental data. Experiment results show that the new algorithm is effective for large databases.
Keywords�� data mining   weighted association rule   multiple minimum supports     
Received 2006-07-03;

���ջ���������Ŀ(2006ZC51032); 863������Ŀ(2006AA701424)

About author: �����d(1977-),Ů,�����»���,��ʿ��,likun_zou@163.com
�����d, ������.���ڶ���С֧�ֶȵļ�Ȩ���������ھ��㷨[J]  �������պ����ѧѧ��, 2007,V33(05): 590-593
Zou Likun, Zhang Qishan.Algorithm of weighted association rules mining with multiple minimum supports[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2007,V33(05): 590-593
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