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分析了维基百科的基本现状,尤其是关于维基词条质量的统计分析结论,研究了维基百科中＂基于相关性分析＂和＂基于模型＂这两种词条质量检测方法,讨论了其对群体智能研究的启示及开放性问题。 相似文献
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The advanced data mining technologies and the large quantities of remotely sensed Imagery provide a data mining opportunity
with high potential for useful results. Extracting interesting patterns and rules from data sets composed of images and associated
ground data can be of importance in object identification, community planning, resource discovery and other areas. In this
paper, a data field is presented to express the observed spatial objects and conduct behavior mining on them. First, most
of the important aspects are discussed on behavior mining and its implications for the future of data mining. Furthermore,
an ideal framework of the behavior mining system is proposed in the network environment. Second, the model of behavior mining
is given on the observed spatial objects, including the objects described by the first feature data field and the main feature
data field by means of the potential function. Finally, a case study about object identification in public is given and analyzed.
The experimental results show that the new model is feasible in behavior mining.
Supported by the National 973 Program of China(No.2006CB701305,No.2007CB310804), the National Natural Science Fundation of
China (No.60743001), the Best National Thesis Fundation (No.2005047), the National New Century Excellent Talent Fundation
(No.NCET-06-0618). 相似文献
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以典型的群体合作编辑应用——维基百科作为分析对象,从词条、编辑者以及词条和编辑者之间的编辑关系等三个方面入手,总结了近年来对维基百科的统计分析方法和主要结论,讨论了将统计分析结论应用于信息服务的问题。 相似文献
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