Big Data is a hot topic and getting a lot of media and business attention. Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. Big data finds insights from complex, noisy, heterogeneous, longitudinal, and voluminous data. and aims to answer questions that were previously unanswered. Big data exists in a wide variety of data-intensive areas such as atmospheric science, genome research, astronomical studies, and network traffic monitor. Collecting, analyzing and understanding Big Data is becoming a differentiated strategy today but it will become a fact of life tomorrow. This book, Applied Big Data Analytics is unique among those big-data books because of its great depth and technical approach. It consists of four themes: i)Basics of big data analytics, ii)Tools, techniques and software for analytics iii) Big data analytics in health care sector iv) Big data analytics in industries, bioinformatics and life sciences. With 26 chapters spread over four sections the book demonstrates further the emerging issues and approaches in various areas of Big Data application The aim of this book is to be accessible to researchers, graduate students, and to application-driven practitioners who work in data science and related fields. It is a timely and urgently needed publication, and it provides the most up-to-date, crucial, and practical infor¬mation for big data management, technologies, and applications. Contributed by experts, it is a must-read book for statisticians, data analysts, IT students, researchers, scholars, and workers with big data in mind. Specialty of this book is that it covers important issues of big data from fundamental knowledge to application in various sectors. With an emphasis on real-life implementation of Big Data technologies, this book will provide bold vision from leading innovators across the data-driven spectrum. The latest tools and trends may help gaining fresh insights and strategic momentum to grow and respond to the analytical requirements.
Award winning Key Note Speaker at International Level, Professor Ajit Kumar Roy is an acclaimed researcher and consultant. Prof. Roy obtained his M.Sc. degree in Statistics and joined Agricultural Research Service (ARS) of Indian Council of Agricultural Research (ICAR) as a Scientist (Statistics) in 1976. In recent past was engaged as National Consultant (Impact Assessment), for East &North Eastern States of India at National Agricultural Innovation Project (World Bank funded) of ICAR. Prior to that he had served as a Consultant (Statistics) at Central Agricultural University, Agartala. Earlier had served at CIFA, ICAR, as Principal Scientist and was involved in applied research in the areas of ICT, Statistics, Bioinformatics Analytics, and Economics. At International level he served as a Computer Specialist at SAARC Agricultural Information Centre (SAIC), Dhaka, Bangladesh for over 3 years. The author with over 45 years of research and teaching experience in Statistical Analysis, Analytics, and information & Knowledge management edited eighteen books and several conference proceedings. Besides, published over 100 articles in refereed journals. His recent best-sellers are 'Impact of Big Data Analytics on Business, Economy, Health Care and Society'; 'Data Science - A Career Option for 21st Century';' Self Learning of Bioinformatics Online'; 'Applied Bioinformatics, Statistics and Economics in Fisheries Research' and 'Applied Computational Biology and Statistics in Biotechnology and Bioinformatics'. Member, Organizing Committee Board for the 5th International Conference on 'Biometrics and Biostatistics' held during, October 20-21, 2016, Houston, Texas, USA. Editorial Board Member, Jacobs Journal of Biostatistics, Jacobs Publishers, 900 Great Hills, Trail # 150 w, Austin, Texas. Visiting Professor, question setter and examiner of four Indian Universities.
