CloSpan Sequential Pattern Mining for Books Recommendation System in Petra Christian University Library

Petra Christian University (PCU) Library has been using website for their books search system. To further improve the service, it is necessary to develop the automatic system which can recommends the book or the correlation or the book which often being lend at the same time or sequentially by prospective borrowers. The algorithm used to explore the lending sequential patterns is CloSpan Sequential Mining algorithm. The output generated by this application is closed sequential pattern rules
and the tree of sequential patterns. They can be used as a reference to establish a list of recommended related books. From the test results it can be concluded that the more data and smaller minimum support, the longer the process takes, and the more patterns that is produced. From the questionnaire outcome that are distributed to employees and users of the library can be concluded that the system can create right recommendations and useful.