Hemanta Saikia – författare

Essay from the year 2013 in the subject South Asian Studies, South-Eastern Asian Studies, grade: A, , language: English, abstract: The Mising is a major ethnic group of north east India and second largest tribe in Assam. As per 2001 census the Mising constitutes 17.8 percent of the tribal population of Assam and the total numbers of Mising population is 587,310. They are found mostly in Lakhimpur, Jorhat, Dibrugarh Dhemaji and Golaghat Districts of Assam. The Mising, being riverside people, have special liking to live on the riverbanks in spite of the fact that they have to face the flood of the river during the monsoon. Sometime flood force them to shift their villages. The Mising are still very backward and their socio-economic conditions have not developed. This essay attempts to explore the socio-economic condition of Mising people of Assam. Despite of the development of the socio economic structure of the Missing tribes, there is a gap still remains the socio economic development. Even though constitution provided a strong framework for the development of the Mising tribes they are still remain backward and so still strong foundation for the development of them is needed.

The book covers recent trends in the field of devices, wireless communication and networking. It presents the outcomes of the International Conference in Communication, Devices and Networking (ICCDN 2018), which was organized by the Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Sikkim, India on 2–3 June, 2018. Gathering cutting-edge research papers prepared by researchers, engineers and industry professionals, it will help young and experienced scientists and developers alike to explore new perspectives, and offer them inspirations on addressing real-world problems in the field of electronics, communication, devices and networking.

This book focuses on the application of data mining techniques in cricket. It provides detailed examples of how data mining can be helpful for decision-making in sports with special reference to cricket, particularly the quantitative features related to Twenty20 cricket, the latest and the most popular format of the game. The book highlights the performance quantification of cricketers (batsmen, bowlers, all-rounders, and wicket keepers), determining the market valuation of cricketers based on their on-field performances and the effect of age on the performance of the cricketers. It also provides a comprehensive overview of the different aspects of the game where quantitative techniques are beneficial, and highlights the use of statistical and data mining tools in analysing sports-related data and objective decision-making in sports. The book appeals to a wide readership, including postgraduate students of statistics/mathematics, data analysts, sports management bodies. It also offers data miners, such as researchers in statistics, mathematics, operations research, and computer science ideas for projects.

This book focuses on the application of data mining techniques in cricket. It provides detailed examples of how data mining can be helpful for decision-making in sports with special reference to cricket, particularly the quantitative features related to Twenty20 cricket, the latest and the most popular format of the game. The book highlights the performance quantification of cricketers (batsmen, bowlers, all-rounders, and wicket keepers), determining the market valuation of cricketers based on their on-field performances and the effect of age on the performance of the cricketers. It also provides a comprehensive overview of the different aspects of the game where quantitative techniques are beneficial, and highlights the use of statistical and data mining tools in analysing sports-related data and objective decision-making in sports. The book appeals to a wide readership, including postgraduate students of statistics/mathematics, data analysts, sports management bodies. It also offers data miners, such as researchers in statistics, mathematics, operations research, and computer science ideas for projects.