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Murali Konidina

Kirjat ja teokset yhdessä paikassa: 2 kirjaa, julkaisuja vuodelta 2020, suosituimpien joukossa Women Entrepreneurship in India. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

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Women Entrepreneurship in India

Women Entrepreneurship in India

K C Bhanu; G Mokesh Rayalu; Murali Konidina

Scholars' Press
2020
pokkari
Economic growth and revitalization of nation are propelled best by 'Entrepreneurs'. Small business and entrepreneurship in India are the prime-force in generating productive employment and ensuring a more equitable distribution of income in the process of economic development of the country. It facilitates effective mobilization of resources like capital and skills and helps to reduce poverty and unemployment. Entrepreneurs rationally combine the forces of production into a new production organization, "Schumpeter states that entrepreneurial behaviour covers the introduction of a new good, a new method of production, new market, a new source of supply of raw materials or half manufactured goods and a new organization of any industry for certain of a monopoly position or breaking it". To empower women and attain economic independence, development of women entrepreneurship becomes essential. Gainful employment has been viewed as a critical entry point for women's participation in income generating activities is believed to increase their status and decision making power. With employment, women do not remain as objects of social change but become agents of it.
Statistical data mining techniques

Statistical data mining techniques

G Mokesh Rayalu; K C Bhanu; Murali Konidina

Scholars' Press
2020
pokkari
Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predictions. To mine the hidden and useful information we have to take the available dataset through the process of data mining. It's not a single step. It contains various groups of interlinking steps which will help us to find the useful information for decision making. Data mining searches databases to find hidden patterns and predict information to increase the business in the organization.Data mining is the nontrivial extraction of implicit, previously unknown, interesting and potentially useful information from data . Now a day's hospitals and health care institutions are well equipped with monitoring and other data collection devices, where data is collected and shared with other hospital information systems.