Naïve Bayes Classification on Student Placement Data: A Comparative Study of Data Mining Tools

Author:

Mavani Umang,Lobo Vivian Brian,Pednekar Aditi,Pereira Naomi Christianne,Mishra Rupesh,Ansari Nazneen

Publisher

Springer Singapore

Reference9 articles.

1. Vrushali, M., Mayura, N.: Classification-based data mining algorithms to predict slow, average and fast learners in educational system using WEKA. In: Computing Methodologies and Communication (ICCMC), pp. 475–479 (2017)

2. Sharon, C., Madhuri, K.L., Suma, V.: A comparative analysis of data mining tools in agent-based systems. arXiv preprint arXiv:1210.1040 (2012)

3. Anil, S., Balrajpreet, K.: A research review on comparative analysis of data mining tools, techniques and parameters. Int. J. Adv. Res. Comput. Sci. 8(7) (2017)

4. Alan, J. Brkic, K., Bogunovic, N.: An overview of free software tools for general data mining. In: Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 1112–1117 (2014)

5. Paramjit, K., Kanwalpreet, S.A.: Comparative analysis of decision tree algorithms for the student’s placement prediction. Int. J. Adv. Res. Comput. Commun. Eng. 4(6), 396–400 (2015)

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