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Indexed by:期刊论文

Date of Publication:2014-01-01

Journal:International Journal of Database Theory and Application

Included Journals:EI

Volume:7

Issue:4

Page Number:227-236

ISSN No.:20054270

Abstract:References can directly reflect quality of Undergraduate theses. However, it is a thorny problem that how to quantitatively evaluate massive undergraduate thesis references. A quality evaluation method of undergraduate thesis references based on Hadoop is presented which applies pattern matching algorithm to extract metadata and evaluates quality of undergraduate theses by quality evaluation model based on grey relational analysis. Experiment results show that this method can quickly and accurately evaluate quality of undergraduate thesis references on Hadoop. © 2014 SERSC.