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APPLYING THE DATA-MINING TECHNIQUE IN ORDER TO CATEGORIZE THE TARGET USERS OF THE CENTRAL LIBRARY OF ISFAHAN UNIVERSITY OF TECHNOLOGY( STUDYING THE MOTIVES AND INFORMATION SEEKING BEHAVIORS OF THEM)
Atefeh badr, Sedigheh Mohammad esmaeil , Hanif Heidari
Assistant Professor Science and Research Branch; Islamic Azad University
Abstract:   (1132 Views)

The present study classified target users of Central Library of Isfahan to identify their behaviors and information needs. The research has an applied and descriptive-survey method with quantitative approach conducted using neural network techniques in data-mining. The instrument was a researcher-made questionnaire including 64 items with the average reliability of Cronbach's alpha coefficient 0.862. The sample population consisted of 356 faculty members and graduate students of Isfahan University of Technology in the year 1393-94. Using MATLAB, they were clustered based on each of the main components of the study (the purpose and motivation of information-seeking, the amount of using the information sources, information-seeking obstacles and skills, and the amount of using the information services). Then removing each of the research's sub-components of the main components demonstrated the highest purpose and motivation of information-seeking among the target population was research and research activities, and the least effective were reaching a scientific level and competition with rivals; the information sources mostly needed by library users were Latin books translation, and their minimum requirements were reports and research schemes; the main barrier to their information-seeking was lack of access to proper Internet and the least effective factor in lack of access to information sources was inconvenient use of the sources; the most information-seeking skills of the users were identified their awareness about their own information needs and access channels, and the least effective were the ability to recognize the importance of information resultant from their searches regarding their information needs; the most effective services in meeting the information needs of the users were librarians and information science experts' ability in information retrieval and their knowledge of information services and resources, and the least effective were familiarity with a variety of information services and resources in their professional major and possibility of using the information sources in the form of digital files needless to attend libraries.. According to the purpose and results of the present study, it is possible to classify target users of Libraries via using neural network technique in data-mining, based on their needs and information-seeking behaviors.

Keywords: clustering, artificial neural networks, academic library, information needs, information-seeking behaviors
Full-Text [PDF 743 kb]   (447 Downloads)    
Type of Study: Research | Subject: Library and Information Science
Received: 2016/06/1 | Accepted: 2016/11/12 | Published: 2016/11/27
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badr A, Mohammad esmaeil S, Heidari H. APPLYING THE DATA-MINING TECHNIQUE IN ORDER TO CATEGORIZE THE TARGET USERS OF THE CENTRAL LIBRARY OF ISFAHAN UNIVERSITY OF TECHNOLOGY( STUDYING THE MOTIVES AND INFORMATION SEEKING BEHAVIORS OF THEM). Journal of Information Processing and Management. 2009;
URL: http://jipm.irandoc.ac.ir/article-1-3227-en.html
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پژوهشنامه پردازش و مدیریت اطلاعات Journal of Information processing and Management
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