Big Data Analytics - Chaudhary, Kiran
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Présentation Big Data Analytics de Chaudhary, Kiran Format Relié
- Livre Économie
Résumé :
The book explores data analytics concepts and applications in marketing and business. Business and marketing analytics can create value by guiding how organizational resources are optimally allocated and managed. Covering both predictive and prescriptive analysis, the book discusses optimization techniques for stronger business performance....
Biographie: Dr. Kiran Chaudhary is an Assistant Professor in the Department of Commerce, Shivaji College, University of Delhi and has 12 years of teaching and research experience. She earned a Ph.D. in Marketing from Kurukshetra University, India. Her areas of research include marketing, human resource management, organizational behavior, and business and corporate law. A distinguished student winning various awards of recognition, she is a book author as well as conference and journal paper author. Dr. Mansaf Alam is an Associate Professor in the Department of Computer Science, Faculty of Natural Sciences, Jamia Millia Islamia University, New Delhi, India. He has also been Young Faculty Research Fellow for the Ministry of Electronics and Information Technology in India and the Editor-in-Chief for Journal of Applied Information Science. A journal and conference paper author, he conducts research in such area as big data analytics, machine learning & deep learning, cloud computing, cloud database management systems, object- oriented database systems, information retrieval, and data mining. His other academic activities include journal reviewer, member of conference program committees, journal editorial board member, and book author.
Sommaire: 1. Embrace the Data Analytics Chase: A Journey from Basics to Business. 2. Big Data Analytics and Algorithm. 3. Market Basket Analysis: An Effective Data Mining Technique for Anticipating Consumer Purchase Behavior. 4. Customer View--Variation in Shopping Patterns. 5. Big Data Analytics for Market Intelligence. 6. Advancements and Challenges in Business Applications of SAR Images. 7. Exploring Quantum Computing to Revolutionize Big Data Analytics for Various Industrial Sectors. 8. Evaluation of Green Degree of Reverse Logistic of Waste Electrical Appliances. 9. Nonparametric Approach of Comparing Company Performance: A Grey Relational Analysis. 10. Applications of Big Data Analytics in Supply-Chain Management. 11. Evaluation Study of Churn Prediction Models for Business Intelligence. 12. Big Data Analytics for Market Intelligence. 13. Demistifying the Cult of Data Analytics for Consumer Behavior: From Insights to Applications.
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