Envisaging Patron’s Library Activities: An Application of the C4.5 Decision Tree Algorithm

Edwin A. Murillo, Cherry Lyn C. Sta. Romana and Larmie S. Feliscuzo

In the eyes of new students, libraries are often associated to learning, and a place to pursue knowledge. Libraries help them with their school work and the term library often used synonymously to study, research and academics. In other cases, libraries are seen as a venue to store materials and resources (often books) related to school work. However, libraries are more than just a place to develop student’s knowledge. Many students recognized the importance of the library not only to provide location to study but also providing a quiet and comfortable place to take necessary rest from grueling school work. This study uses data mining tools specifically the C4.5 decision tree algorithm using the Waikato Environment for Knowledge Analysis (WEKA) suite to examine the library patrons (students) and develop a model envisaging their attendance habits, utilization and activities inside the library. The study is set at Leyte Normal University, utilizing its patron attendance logbook, library services logbook and book circulation reports for the data needed in the analysis. The generated model determines the predictors and highly significant factors in the patron’s visiting habits, utilization and activities inside the library. The resulting factors help analyze the library utilization patterns, maximization of resources and create blueprint for librarians/administrators providing essential decision support for senior management.

Volume 11 | 10-Special Issue

Pages: 1081-1088

DOI: 10.5373/JARDCS/V11SP10/20192908