Abstract
India is the country with second largest aged population in the world and family is the biggest security and support for the elderly unlike western countries, but our nation has been ranked amongst the poorest of nation to grow old in a global survey. Global Age Watch Index (GA WI) developed with the UN fund for population and development, ranks India a poor 73 out of the 91 countries sampled. Elderly perceives low social worth or selfesteem in family situations. The greatest health asset for geriatric population is spending time and doing things with other people, of all ages, which can help keep the m mentally, physically and emotionally fit. Keeping this point in mind present study was undertaken in ‘Aasara’ old age home, Bhopal whole the population has been selected for the study. Aim of the investigation to find out the views of elderly peoples related to old age home adjustment. Result shows that elderly people living in old age home faced lots of problem related to personal and social adjustment.
Keywords
Data Mining
APriori Algorithm
Selfesteem
Population
Old age home.
Authors
How to Cite this Article
T.Ramalakshmi, L.Aruna, V.Annalakshmi (2017).
"CASE STUDY FOR LEARN LOVE IN OLD AGE HOME: A DATA MINING APPROACH".
International Journal of Contemporary Research in Computer Science and Technology,
3(2), pp. 9-12.
