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A distributed knowledge extraction data mining algorithm
Liu, JB; Thanneru, U; Cheng, DZ
2004
发表期刊COMPUTATIONAL AND INFORMATION SCIENCE, PROCEEDINGS
ISSN0302-9743
卷号3314页码:768-774
摘要We have developed a distributed data mining algorithm based on the progressive knowledge extraction principle. The knowledge factors, the data attributes that are significant statistically or based on a predefined mining function, are extracted progressively from the distributed data sets. The critical data attributes and sample data set are selected iteratively from distributed data sources. The experiments showed that the algorithm is valid and has the potentials for the large distributed data mining practices.
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号WOS:000226644400119
出版者SPRINGER-VERLAG BERLIN
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/909
专题中国科学院数学与系统科学研究院
通讯作者Liu, JB
作者单位1.Bradley Univ, Dept Comp Sci & Informat Syst, Peoria, IL 61625 USA
2.Chinese Acad Sci, Inst Syst Sci, Beijing 100080, Peoples R China
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GB/T 7714
Liu, JB,Thanneru, U,Cheng, DZ. A distributed knowledge extraction data mining algorithm[J]. COMPUTATIONAL AND INFORMATION SCIENCE, PROCEEDINGS,2004,3314:768-774.
APA Liu, JB,Thanneru, U,&Cheng, DZ.(2004).A distributed knowledge extraction data mining algorithm.COMPUTATIONAL AND INFORMATION SCIENCE, PROCEEDINGS,3314,768-774.
MLA Liu, JB,et al."A distributed knowledge extraction data mining algorithm".COMPUTATIONAL AND INFORMATION SCIENCE, PROCEEDINGS 3314(2004):768-774.
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