Investigating the social aging process using data mining techniques
One of the problems that today's societies face is the phenomenon of social aging. The history of social aging returned to the first world war and there are many factors contributing to it. However, aging is an inevitable and a normal routine, but, a variety of causes, including economic and cultural problems, low living standards, loneliness, and social isolation, contribute to its early occurrence and can cause serious problems for the individual and society. One of the most significant problems caused by social aging is the shortage of young people and the lack of dynamism in societies. Therefore, governments, officials and the public need to take this issue seriously and find an appropriate solution to avoid it. Due to the importance of this topic, many studies are being conducted in various research and educational centers. We present one of the activities that has been done by Princeton University. We look at the factors that cause aging and the factors such as anxiety, stress, financial need in old age, how to deal with children, the level of education of the subject. In this paper, data collected in post-preparation research by Chaid model and Clementine software are explored.