Self-organizing-map-based metamodeling for massive text data exploration

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	Self-organizing-map-based metamodeling for massive text data exploration
	Lai, Kin Keung ; Yu, Lean ; Zhou, Ligang ; Wang, Shouyang
	2006
发表期刊	ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1
ISSN	0302-9743
卷号	3971 页码:1261-1266
摘要	In this study, we describe the use of the self-organizing map (SOM) as a metamodeling technique to design a parallel text data exploration system. Firstly, the large textual collections are divided into various small data subsets. Based on the different subsets, different unitary SOM models, i.e., base models. are then trained for word clustering map. In this phase, different SOM models are implemented in parallel to gain greater computational efficiency. Finally, a SOM-based metamodel can be produced to formulate a text category map through learning from all base models. For illustration the proposed metamodel is applied to a massive text data collection.
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号	WOS:000238112000187
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/3588
专题	系统科学研究所
通讯作者	Lai, Kin Keung
作者单位	1.Hunan Univ, Coll Business Adm, Changsha 410082, Peoples R China 2.City Univ Hong Kong, Dept Management Sci, Hong Kong, Hong Kong, Peoples R China 3.Chinese Acad Sci, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Lai, Kin Keung,Yu, Lean,Zhou, Ligang,et al. Self-organizing-map-based metamodeling for massive text data exploration[J]. ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1,2006,3971:1261-1266.
APA	Lai, Kin Keung,Yu, Lean,Zhou, Ligang,&Wang, Shouyang.(2006).Self-organizing-map-based metamodeling for massive text data exploration.ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1,3971,1261-1266.
MLA	Lai, Kin Keung,et al."Self-organizing-map-based metamodeling for massive text data exploration".ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1 3971(2006):1261-1266.