Archives-July 2019

As the number of elderly is rising and the social environment is changing, the percentage of the needy among them is also increasing. These factors are also leading to the need for a large number of old-age homes where the elderly may enjoy the end part of their lives in a group of their specific. The effect of the above causes may be observed in the living arrangements of old age Indians. With the evolution of the rural population, the area of arable land is lessening to meet the increased plea for housing, leading to incremental and disguised unemployment. As a result, the rural commonalities are forced to voyage to the urban areas in search of a livelihood. According to the framework of economic development developed by Arthur Lewis, the movement of labour from the “traditional sector” involving agriculture and allied areas that produce traditional outputs for all societies, to the “modern sector” (industrial area, which produces manufactured items) is placed on the centre stage. The traditional sector may be assumed to supply an unconstrained number of labourers, but the absorption of the same critically depends on the supply of capital to the modern sector. The level of savings and investment funds are the determinants of the growth of the modem sector and, hence, the generation of employment as well as the process of urbanization. This paper deals with the issues of aged people in India.

Data mining is a new discipline lying at the interface of statistics, database technology, pattern recognition, machine learning, and other areas. The amount of data being generated and stored is growing exponentially, due in large part to the continuing advances in computer technology. From the financial sector to telecommunications operations, companies increasingly rely on analysis of huge amounts of data to compete. A new generation of techniques and tools is emerging to intelligently assist humans in analysing mountains of data. New problems arise, partly as a consequence of the sheer size of the data sets involved, and partly because of issues of pattern matching. However, since statistics provides the intellectual glue underlying the effort, it is important for statisticians to become involved. Our goal here is to provide a brief overview of the key issues in knowledge discovery in an industrial context and outline representative applications.

Table of contents for the month of July 2019