Development a Recommendation Library System Based On Android Application
Authors: Kunyanuth Kularbphettong, Kunnika Tenprakhon, Pattarapan Roonrakwit
Abstract:
In this paper, we present a recommendation library application on Android system. The objective of this system is to support and advice user to use library resources based on mobile application. We describe the design approaches and functional components of this system. The system was developed based on under association rules, Apriori algorithm. In this project, it was divided the result by the research purposes into 2 parts: developing the Mobile application for online library service and testing and evaluating the system. Questionnaires were used to measure user satisfaction with system usability by specialists and users. The results were satisfactory both specialists and users.
Keywords: Online library, Apriori algorithm, android application, black box.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1092926
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[1] U. M. Fayyad, G. Pitatesky-Shapiro, P. Smyth, and R. Uthurasamy, "Advances in Knowledge Discovery and Data Mining”, AAAI/MIT Press, 1996.
[2] W. Frawley, G. Piatetsky-Shapiro, and C. Matheus, "Knowledge Discovery in Databases: An Overview”. AI Magazine, Fall 1992, pp. 213-228.
[3] http://www.cs.waikato.ac.nz/ml/weka/
[4] Z. Qiankun, "Association Rule Mining:A Survey, Technical Report”, CAIS, Nanyang Technological University, Singapore , 2003.
[5] R. Agrawal, and R. Srikant, "Fast algorithms for mining association rules”, In Proc. 20th Int. Conf. Very Large Data Bases, VLDB, pp. 487-499, 1994.