基于数据挖掘技术的高校图书馆用户行为模式应用研究 *——以南京工业大学为例

Abstract

Abstract:

Data mining techniques are widely used in many industry areas and the library industry also actively explores the application of big data analyses to strengthen its own business. Based on the data mining techniques, this paper analyzes the behavior model of undergraduate students during the four years in the library and makes a series of results. These conclusions can offer corresponding knowledge and decision supporting for library to provide personalized service to teachers and students, and accelerate the transformation from passive service mode to user needs driven active service mode.

Key words: data mining, library, data cleaning, relational analysis, classification analysis

CLC Number:

G250

LV Yuan,LV Dan-dan. Research and Application of University Library User’s Behavior Model Based on the Data Mining Techniques: A Case Study of Nanjing Tech University Library[J].Library Research, 2016, 46(6): 108-112.

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Research and Application of University Library User’s Behavior Model Based on the Data Mining Techniques: A Case Study of Nanjing Tech University Library

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