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@article{145556,
        author = {S.Prathibha Sai and Mrs.S.Sajida},
        title = {Prediction of Industry Readiness Among Job Seekers Using Bagging Algorithm  },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {838-841},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145556},
        abstract = {The Industry Readiness Program is a short - term intensive non-credit training program developed with industry employers to prepare students for entry to mid- level jobs in the local, diverse advanced manufacturing industry. In this paper, we mainly aim to find what are the techniques we should be considered for better performance of the employee in industries and what are the different factors that affect employee performance in an organization. Job readiness is training a participant receives to prepare them to seek or obtain employment, and to keep their jobs once they are hired. We will predict that what are the different jobs that an employee should be well trained in understanding the training needs. We have different algorithms for predict for an industry readiness among job seekers like NaviBayes, Neural networks, bagging algorithms is available. Among these, we are using the Bagging Algorithm for predicting the results. Because the Bagging Algorithm will give better accuracy and performance than compared with the other algorithms.},
        keywords = {NaviBayes, Neural networks, bagging algorithms, job seekers.},
        month = {},
        }