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Career Path Suggestion using String Matching and Decision Trees
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 117 - Number 7 |
| Year of Publication: 2015 |
| Authors: Akshay Nagpal, Supriya P. Panda |
10.5120/20569-2964
|
Akshay Nagpal, Supriya P. Panda . Career Path Suggestion using String Matching and Decision Trees. International Journal of Computer Applications. 117, 7 ( May 2015), 32-34. DOI=10.5120/20569-2964
Abstract
High school and college graduates seemingly are often battling for the courses they should major in order to achieve their target career. In this paper, we worked on suggesting a career path to a graduate to reach his/her dream career given the current educational status. Firstly, we collected the career data of professionals and academicians from various career fields and compiled the data set by using the necessary information from the data. Further, this was used as the basis to suggest the most appropriate career path for the person given his/her current educational status. Decision trees and string matching algorithms were employed to suggest the appropriate career path for a person. Finally, an analysis of the result has been done directing to further improvements in the model.
References
- Cohen, A, "FuzzyWuzzy: Fuzzy String Matching in Python" , Jan. 22, 2015, http://chairnerd. seatgeek. com
- Onder, N, "Learning Decision Trees", Jan 21, 2015, http://www. cs. mtu. edu
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- Quinlan, J. Ross. "Simplifying decision trees. " International journal of man-machine studies 27. 3 (1987): 221-234.
- Russell, Matthew A. Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More. " O'Reilly Media, Inc. ", 2013.
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