• P. Anitha vairamany
• K. Subramaniyan

• .The major problem faced by candidates after the completion of their graduation is to find out the right job. while industry is also facing the problem of finding skilled graduates. Through recognizing the importance of a qualified workforce has become one of the focal points various disciplines. The great effort must be dedicated to analyzing labour demand and supply, and actions are taken at many levels to match one with the other. In this work it must concentrate skill need in the work space with dynamic variables. The purpose of this paper is to propose a suitable classification model that can be used in making prediction and assessment of the attributes of the student’s dataset to meet the selection criteria of work demanded by the industry. In this paper will introduce a relatively simple yet effective method of monitoring skills needs straight from the source—as expressed by potential employers in their job advertisements. The open source tools such as Rapid Miner and R as well as easily accessible online vacancy data. We demonstrate selected techniques Naïve Bayes,to determine effective ways of discovering knowledge from a given collection of vacancies.

EDUCATIONAL MINING DECISION TREE HIGHER STUDIES SECTOR RANK,CATEGORY

"ROLE OF PLACEMENT OFFICES IN STUDENT’S CAREER DEVELOPMENT USING PREDICTION MINING METHODS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.568-570, December-2018, Available :http://www.jetir.org/papers/JETIR1812281.pdf

"ROLE OF PLACEMENT OFFICES IN STUDENT’S CAREER DEVELOPMENT USING PREDICTION MINING METHODS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp568-570, December-2018, Available at : http://www.jetir.org/papers/JETIR1812281.pdf