Stress is actually survival response when our body gets any outside force or event. The human body is designed to experience stress and react to it. Stress can be positive, keeping us alert, motivated and ready to avoid danger. Sometimes the stress becomes negative when a person faces continues challenges without any relaxation, mental tension caused by demanding, conflicts with others. Stress that continues without relief, a hormone called coristol is released into blood stream suppressing the functioning of immune, digestive and reproductive system. Because of this it is important to practice stress management in order to keep our body healthy. The purpose of this study is to find out the level of stress among various categories of people like school going students, working people and people under medical treatment using data mining techniques. Data mining is a process used in many areas to turn raw data into useful information. It is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

Machine learning,Coristol, discovering patterns,Data mining

[1] Lazarus, R. S. (1966), “Psychological Stress and the Coping Process” New York, Toronto, London: McGraw-Hill Book Co.
[2] Lazarus, R.S. & Cohen, J.B (1977),”Environmental Stress”, In I. Altman and J.F.Wohlwill (eds), Human Behavior and Environment.(Vol 2) New York: Plenum.
[3] Dr. Anil Kumar, Professor & Meenakshi Yadav, Haryana School of Business, Guru Jambheshwar University of Science &Technology, Hisar, “ Journal of Management Research ,ISSN 2347-4270, Vol 3 Issue 1, October 2014
[4] T.-S. Lim, W.-Y. LOH, and W. Cohen. A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning, 39, 2000.
[5] S. Michie,” Causes and management of stress at work. Occupational and Environmental Medicine” , 59(1):67, 2002.
[6] Prof. Dr. Wolfgang Karl Hardle, “Time series Data Mining Methods: A Review”, Berlin, March 25, 2015.
[7] Vemuri Swathi, M.Sudhir Reddy,”Stress Among working Women: Literature Review”, IJCEM International Journal of Computational Engineering & Management, Vol. 19 Issue 4, July 2016 ISSN (Online): 2230-7893.
[8] V.R.Kavitha, “Activity based Mental Stress Detection and Analysis”, International Journal of Computer Applications (0975 – 8887) Volume 152 – No.10, October 2016.
[9] Kanta Devi, "Level of stress among working and non-working women in chandigarh", International Journal of Science & Enignieering Research, Volume 7, Issue 4, April-2016, ISSN 2229-5518 .
[10] D.Umanandhini,G.Kalpana,”Survey on Stress Types Using Data Mining Algorithms”, International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163, Issue 04, Volume 4 (April 2017).
[11] Mr. Sudhir M. Gorade1, Prof. Ankit Deo2,Prof. Preetesh Purohit,” Early Identification of Diseases Based on Responsible Attribute Using Data Mining”, International Research Journal of Engineering and Technology (IRJET), Volume: 04 Issue: 07 | July -2017.
[12] J.S.Kanchana, R.Surya, H.Thaqneem Fathima, R.Sandhiya,”Stress Detection Using Classification Algorithm”,(IJERT) International Journal of Engineering Research & Technolgies,Vol.7 Issue 04, April 2018.
[13] Siobhan Hugh-Jones, Sally rose, Gina Z.Koutsopoulou,Ruth Simms-Ellis,” Mindfulness (2018) 9:474–487.