Decision Tree Classification of Students Placement Factors Using R Data Miner

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2017, Vol 19, Issue 2

Abstract

Student campus placement attitudes have largely been assessed using college students are relatively small samples. In addition, no systematic framework has been used to investigate the origins or influencing social factors of such attitudes and how these interact with demographic characteristics. Using Google forms an online survey was conducted, to examine placement-related attitudes and behaviors among 3,340 adults. We examined the students' behavior in Technical and nontechnical interviews. Geographical availability and gender of the student which could affect placements are not investigated in this research stream. Findings also reveal differences in both attitudes and behaviors across the technical and nontechnical interviews. This survey was conducted to improve the placement process at the college.

Authors and Affiliations

Mrs. Dhanamma Jagli, Mrs. Meenakshi Garg

Keywords

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  • EP ID EP384379
  • DOI 10.9790/0661-1902026872
  • Views 109
  • Downloads 0

How To Cite

Mrs. Dhanamma Jagli, Mrs. Meenakshi Garg (2017). Decision Tree Classification of Students Placement Factors Using R Data Miner. IOSR Journals (IOSR Journal of Computer Engineering), 19(2), 68-72. https://europub.co.uk./articles/-A-384379