Data Science and Analytics
Emerald Publishing Limited (Verlag)
978-1-80043-877-4 (ISBN)
Data Science and Analytics explores the solutions to problems in society, environment and in industry. With the increase in the availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. This book explores perspectives on how big data and business analytics are increasingly essential in better decision making.
This edited work explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications. Data Science and Analytics brings together researchers, engineers and practitioners to encompass a wide and diverse range of topics in a wide range of fields.
The book will provide unique insights to researchers, academics and data scientists from a variety of disciplines interested in analyzing and application of big data analytics, as well as data analysts, students and scholars pursuing advanced study in big data.
Dr. Sneha Kumari is Assistant Professor at Vaikunth Mehta National Institute of Cooperative Management (VAMNICOM), Pune. She has published around 40 articles in peer reviewed journal and has attended several national and international conferences. Dr. K.K. Tripathy is an Officer of the Indian Economic Service (IES), Government of India. He has published around 70 research articles and has attended several international and national conferences. His main areas of research are rural development, microfinance and agriculture. Dr. Vidya Kumbhar is an Assistant Professor at the Symbiosis Institute of Geoinformatics, Pune, India.
Chapter 1. Data Visualization Aarti Mehta Sharma
Chapter 2. Analytical aspects of Multimedia Big Data Computing and Future Scope Hiral R. Patel, Ajay M Patel Satyen M Parikh
Chapter 3. Predictive Analysis: Comprehensive study of popular open source
tools Gauri Rajendra Virkar, Supriya Sunil Shinde
Chapter 4. Market Opportunities through Effective Market Analytics Shakti Ranjan Panigrahy
Chapter 5. Stochastic point process techniques for modelling problems in IoT and Marketing: Technique of “Random Point Process” (RPP) & “Product density” (PD)techniques in Stochastic Modeling KSS Iyer, Madhavi Damle
Chapter 6. Real-Time Data Analytics - A Contemporary Approach towards Customer Relationship Management Samir Yerpude
Chapter 7. Application of Big Data for Sustainable Rural Development with Special Reference to MNREGA K. K. Tripathy, Sneha Kumari
Chapter 8. Challenges of Digital Technologies in The Development of Supply Chains: A Guide for Their Selection Jorge Tarifa-Fernandez, Almudena Martínez Aguilera, José Felipe Jiménez-Guerrero
| Erscheinungsdatum | 26.11.2020 |
|---|---|
| Verlagsort | Bingley |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 423 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| ISBN-10 | 1-80043-877-X / 180043877X |
| ISBN-13 | 978-1-80043-877-4 / 9781800438774 |
| Zustand | Neuware |
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