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New Technology of Library and Information Service  2010, Vol. 26 Issue (7/8): 114-119    DOI: 10.11925/infotech.1003-3513.2010.07-08.20
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Data Mining of Subject Words for Bibliographic Database in Small and Medium-sized Libraries Based on FP-tree
Chen AiyingQin Zongrong2
1(Guangzhou Maritime College Library, Guangzhou 510725,China)
2(Department of Computer and Information Engineering,Guangzhou Maritime College,Guangzhou 510725, China)
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For ubiquitous subject indexing problem of Chinese books in small and medium-sized libraries, this paper uses the FP-growth algorithm to mine discipline subject field, and the discipline thesaurus of each category is obtained. The reference basis for making machine-readable data subject indexing rules and bylaws of Chinese books in small and medium-sized libraries is provided as well as subject indexing of Chinese books.

Key wordsAssociation rules      Data mining      FP-growth algorithm      Discipline subject      Minimum support     
Received: 25 May 2010      Published: 19 September 2010



Corresponding Authors: Chen Aiying     E-mail:
About author:: Chen Aiying Qin Zongrong

Cite this article:

Chen Aiying Qin Zongrong. Data Mining of Subject Words for Bibliographic Database in Small and Medium-sized Libraries Based on FP-tree. New Technology of Library and Information Service, 2010, 26(7/8): 114-119.

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