Abstract
Academic records of student candidates and students of Petra Christian University (PCU) which have been stored so far have not been used to generate information. PCU’s top-level management needs a way to generate information from the records. The generated information is expected to support the decision-making process of top-level management.
Before starting the application development, analysis and design of the student academic records and the needs of top-level management are done. The design stage produces a number of modeling that will be used to create the application.
The final result of the development is an application that can generate information using multidimensional fuzzy association rules.
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References
Han, J., Kamber, M., Pei, J.: Data mining: Concepts and Techniques, 3rd edn. Morgan Kaufmann, San Fransisco (2012)
Klir, G.J., Yuan, B.: Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice Hall, New Jersey (1995)
Zadeh, L.A.: Fuzzy Sets and Systems. International Journal of General Systems 17, 129–138 (1990)
Intan, R.: A Proposal of Fuzzy Multidimensional Association Rules. Jurnal Informatika 7(2) (2006)
Intan, R.: A Proposal of an Algorithm for Generating Fuzzy Association Rule Mining in Market Basket Analysis. In: Proceeding of CIRAS (IEEE), Singapore (2005)
Intan, R.: Hybrid-Multidimensional Fuzzy Association Rules from a Normalized Database. In: Proceedings of International Conference on Convergence and Hybrid Information Technology. IEEE Computer Society, Daejeon (2008)
Gour, V., Sarangdevot, S.S., Tanwar, G.S., Sharma, A.: Improve Performance of Extract, Transform and Load (ETL) in Data Warehouse. International Journal on Computer Science and Engineering 2(3), 786–789 (2010)
Silwattananusarn, T., Tuamsuk, K.: Data Mining and Its Applications for Knowledge Management: A Literature Review from 2007 to 2012. International Journal of Data Mining & Knowledge Management Process (IJDKP) 2(5), 13–24 (2012)
Ramageri, B.M.: Data Mining Techniques and Applications. Indian Journal of Computer Science and Engineering 1(4), 301–305 (2010)
Padhy, N., Mishra, P., Panigrahi, R.: The Survey of Data Mining Applications and Feature Scope. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) 2(3), 43–58 (2012)
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Yulia, Wibisono, S., Intan, R. (2015). Multidimensional Fuzzy Association Rules for Developing Decision Support System at Petra Christian University. In: Intan, R., Chi, CH., Palit, H., Santoso, L. (eds) Intelligence in the Era of Big Data. ICSIIT 2015. Communications in Computer and Information Science, vol 516. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46742-8_4
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DOI: https://doi.org/10.1007/978-3-662-46742-8_4
Publisher Name: Springer, Berlin, Heidelberg
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