Comparative analysis on job prediction of students based on resume using data mining techniques

  • Authors

    • T Ravi Kumar
    • P Yasaswini
    • G Rafi
    • Dhulipalla Vijay Krishna
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.12236
  • Naïve Bayes Classifier, Decision Trees, K-Nearest Neighbor Classifier, Weka.
  • Abstract

    The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 200 words. The abstract should state the purpose, approach, results and conclusions of the work. The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in it-self (no numerical refer-ences); it should not cite figures, tables, or sections of the paper. The abstract should be written using third person instead of first person.

     

     

  • References

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      [18] A. K. Pal and S. Pal "Classification Model of Prediction for placement of Students", Modem Education and Computer Science Volume II, pp. 49-56, November 2013.

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  • How to Cite

    Ravi Kumar, T., Yasaswini, P., Rafi, G., & Vijay Krishna, D. (2018). Comparative analysis on job prediction of students based on resume using data mining techniques. International Journal of Engineering & Technology, 7(2.7), 1100-1103. https://doi.org/10.14419/ijet.v7i2.7.12236

    Received date: 2018-04-27

    Accepted date: 2018-04-27

    Published date: 2018-03-18