Data Mining of Subject Words for Bibliographic Database in Small and Medium-sized Libraries Based on FP-tree

doi:10.11925/infotech.1003-3513.2010.07-08.20

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 Aiying¹Qin 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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Abstract

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 words： Association rules Data mining FP-growth algorithm Discipline subject Minimum support

Received: 25 May 2010 Published: 19 September 2010

:	G250
	TP391

Corresponding Authors: Chen Aiying E-mail: cay6932@163.com

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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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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2010.07-08.20 OR http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2010/V26/I7/8/114

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