Discovery of user access pattern and loan transactions analysis of information resources using association rules technique in data mining (Case study: Libraries and Information Centers of Hamedan University of Medical Sciences)

Discovery of user access pattern and loan transactions analysis of information resources using association rules technique in data mining (Case study: Libraries and Information Centers of Hamedan University of Medical Sciences)

Increasing massive amount of data and using them to improve the quality of management decisions are the problems of libraries and information centers. In the meantime, a powerful data mining tool can analyze data to predict and analyze user transactions and stop wasting time to use useful data from...

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Bibliographic Details
Main Authors: Nasim Ansari, Hossein Vakili mofrad, Muharram Mansoori zadeh, Mohamad reza Amiri
Format: Article
Language:fas
Published: Iranian Research Institute for Information and Technology 2019-07-01
Series:Iranian Journal of Information Processing & Management
Subjects:
data mining
association rules
apriori algorithm
library users
library circulation records
academic libraries
hamedan university of medical sciences.
Online Access:http://jipm.irandoc.ac.ir/article-1-3975-en.html

Internet

http://jipm.irandoc.ac.ir/article-1-3975-en.html

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