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Self-organizing-map-based metamodeling for massive text data exploration
Lai, Kin Keung; Yu, Lean; Zhou, Ligang; Wang, Shouyang
2006
Source PublicationADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1
ISSN0302-9743
Volume3971Pages:1261-1266
AbstractIn 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.
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000238112000187
PublisherSPRINGER-VERLAG BERLIN
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/3588
Collection系统科学研究所
Corresponding AuthorLai, Kin Keung
Affiliation1.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
Recommended Citation
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.
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