Recommendations for Academic Major of Students with Case-based Reasoning Method to the Case of Iran
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Authors
Shiva Asadianfam
- Department of Computer Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran.
Sima Asadianfam
- Department of Computer Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran.
Abstract
In some schools took place in the East Azerbaijan province in this year, a number of students were studied and compared in five different fields of study, based on several criteria, consist of Parental guidance, career, middle and high school grades, courses, etc. The purpose of this study was to predict academic major of students with Case-Based Reasoning method. Factors influencing the choice of the parameters are used in these predictions that the CBR method and other students behavior and process them by Matlab, appropriate field can be suggested for a given test set and measure accurately the amount of the recommendations.
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ISRP Style
Shiva Asadianfam, Sima Asadianfam, Recommendations for Academic Major of Students with Case-based Reasoning Method to the Case of Iran, Journal of Mathematics and Computer Science, 12 (2014), no. 2, 99-104
AMA Style
Asadianfam Shiva, Asadianfam Sima, Recommendations for Academic Major of Students with Case-based Reasoning Method to the Case of Iran. J Math Comput SCI-JM. (2014); 12(2):99-104
Chicago/Turabian Style
Asadianfam, Shiva, Asadianfam, Sima. "Recommendations for Academic Major of Students with Case-based Reasoning Method to the Case of Iran." Journal of Mathematics and Computer Science, 12, no. 2 (2014): 99-104
Keywords
- Case Based Reasoning Method
- Recommender Systems
- Data Mining.
MSC
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