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›› 2017, Vol. 29 ›› Issue (2): 69-72.doi: 10.13998/j.cnki.issn1002-1248.2017.02.015

• Network technology • Previous Articles     Next Articles

Study on the data Mining Technology in Library Borrowing Analysis System

CHEN Jingrong   

  1. Library, Hubei University of Technology, Hubei Wuhan 430068, China
  • Received:2016-07-12 Online:2017-02-05 Published:2017-01-22

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Abstract: With the development of the Internet, people's daily life has been gradually transformed into the data.The importance of data has also been realized by people. Data mining technology is gradually applied in real life.In this library borrowing analysis system, it used the decision tree C4.5 algorithm analysis to analyze libraryinformation and calculate the information gaining rate, and then constructed a model of decision tree based on library borrowing information to get the most satisfying books of library readers, which realized the application of data mining technology in the field of library and provided a great book lending recommendation system for users.

Key words: data mining

CLC Number: 

  • G250
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