Now a day’s prediction systems are key software systems in business and social contexts. We observe the change in decision making and success obtained by organization and individuals due to accurate prediction systems. Various algorithms and theories are used by researchers to formulate prediction systems. We feel the study of state of art methods for design of prediction systems is highly necessary. This work studies the mathematical approaches used for prediction. We propose the application of Rough Set Theory for design of career prediction system.

RST(Rough Set Theory), Accuracy, Prediction System.

[1] Xinjuan Zhang, Jing Zhang; Research on the Graduate Career Decision-making Based on Rough Set Theory and Decision Tree Method.
[2] Niharika Upadhyay and Pragati Jain; APPLYING ROUGH SET THEORY IN FEEDBACK ANALYSIS ;eISSN 2278-1145.
[3] Xinjuan Zhang, Jing Zhang; Research on the Graduate Career Decision-making Based on Rough SetTheory and Decision Tree Method.
[4] Aboul Ella Hassanien, Jafar H. AliRough Set Approach for Generation ofClassification Rules of Breast Cancer Data.
[5] Hameed Al Qaheri, Ajith Abraham; A Generic Scheme for Generating PredictionRules Using Rough Set.
[6] Zdzislaw Pawlak; Rough set theoryand its applications.
[7] Kein E. Voges; Research Techniques Derived From Rough Sets Theory:Rough Classification and Rough Clustering
[8] Sivia Rissino, Germano Lambert Torres; Rough Set Theory – Fundamental Concepts,Principals, Data Extraction, and Applications
[9] Chien Chung Chan, Dept. Of mathematics and computer science; Rough Sets Theory and Its Applications
[10] Zdzisław Pawlak; Rough Sets; Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, ul. Bałtycka 5, 44 100 Gliwice, Poland.
[11] Lokesh S. katore, Dr.(Prof). Umale Sir; Novel approach to recommend career option to engineering students using improved analytics.
[12] Xuecai Bao, Tangsheng Wang, Jianfeng Hu;Analysis of Individual Career Decision-making based on partial least-squares regression model” 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.
[13] Lokesh S. katore, Dr. J.S. Umale; Comparative Study of Recommendation Algorithms and Systems using WEKA; ISBN: 973-93-80884-86-4
[14] Sudheep Elayidom, Dr. Sumam Mary Idikkula, Joseph Alexander, Anurag Ojha, Applying Data mining techniques for Placement chance prediction” 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies
[15] Ying Cao, Lei Zhang; Research about the College Students Career Counseling Expert System based on Agent”
[16] Jyi-Shane Liu and Ke-Chih Ning; Applying Link Prediction to Ranking Candidates for High-Level Government Post” 2011 International Conference on Advances in Social Networks Analysis and Mining
[17] Bert w. westbrook, Eleanor e. Sanford, Predictive and Construct Validity of Six Experimental Measures of Career Maturity” Journal of Vocational Behavior 27, 338-355 (198.5)
[18] Eliza Byington *, Will Felps, Why do IQ scores predict job performance?An alternative, sociological explanation” Research in Organizational Behavior 30 (2010) 175–202.
[19] Mercedes Inda 1, Carmen Rodríguez ⁎, José Vicente Peña, Gender differences in applying social cognitive career theory in engineering students” Journal of Vocational Behavior 83 (2013) 346–355
[20] Thomas Zellweger ⁎, Philipp Sieger, Frank Halter; Should I stay or should I go? Career choice intentions of students with family business background” Journal of Business Venturing 26 (2011) 521–536