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《Computer Engineering》 2002-08
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Research on the Parallelism of Decision Tree Algorithm

GUO Jinfeng MI Pubo LIU Guohua(Department of Computer Science and Technology, Yanshan University, Qinhuangdao 066004)  
It is needed to think about the problem with speed-up when data mining techniques are applied to database or data warehouse. If datasets mined are large over a special level, they can only be handled on supercomputers. The information mined from history datasets is invalid and even negative if the speed of mining system is too slow. As far as this point is concerned, this paper presents parallel principle of decision tree algorithm and discusses the performance of its parallelism.
【Fund】: 河北省自然科学基金资助项目()600225
【CateGory Index】: TP311.12
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