Big data analytics : applications in business and marketing / Kiran Chaudhary and Mansaf Alam.

I. Introduction1. Introduction Suzanee MalhotraII. Applications of Business Analytics2. Big Data Analytics and AlgorithmAlok Kumar, Lakshita Bhargava, and Zameer Fatima3. Market Basket Analysis: An Effective Data Mining Technique for Anticipating Consumer Purchase BehaviorSamala Nagaraj4. Customer View Variation in Shopping PatternsAmbika N5. Big Data Analytics for Market Intelligence Md Rashid Farooqi, Anushka Tiwari, Sana Siddiqui, and Neeraj Kumar6. Advancements and Challenges in Business Applications of SAR ImagesPrachi Kaushik and Suraiya Jabin. 7. Exploring Quantum Computing to Revolutionize Big Data Analytics for Various Industrial SectorsPreeti Agarwal and Mansaf AlamIII. Business Intelligence8. Evaluation of Green Degree of Reverse Logistic of Waste Electrical AppliancesLi Qin Hu, Amit Yadav, Hong Liu, and Rumesh Ranjan9. Nonparametric Approach of Comparing Company Performance: A Grey Relational AnalysisTihana �Skrinjari�c10. Applications of Big Data Analytics in Supply Chain Management Nabeela Hasan and Mansaf Alam 11. Evaluation Study of Churn Prediction Models for Business IntelligenceShoaib Amin Banday and Samiya KhanIV. Analytics for Marketing Decision Making 12. Big Data Analytics for Market IntelligenceTripti Paul and Sandip Rakshit13. Data Analytics and Consumer Behaviour Suzanee Malhotra14. Marketing Mode and Survival of the Entrepreneurial Activities of Nascent EntrepreneursMuhammad Nawaz Tunio15. The Responsibility of Big Data Analytics in Organization Decision-MakingEzeifekwuaba Tochukwu Benedict16. Decision Making Model for Medical Diagnosis Based on Some New Interval Neutrosophic Hamacher Power Choquet Integral OperatorsPankaj Kakati and Saifur Rahman V. Digital Marketing 17. Prediction of Marketing by the Consumer AnalyticsC.C. Jayasundara18. Web Analytics for Digital MarketingSrinivas Dinakar Nethi, Venkata Rajasekhar Moturu, and Krishnaveer Abhishek Challa19. Smart Retailing: A Novel Approach for Retailing Business Ghanshyam Parmar20. Leveraging Web Analytics for Optimizing Digital Marketing StrategiesSapna Sood21. Smart Retailing in Digital Business S R Mani Sekhar, Tarun Krishnan Louie Antony, Sandeep B L, and Siddesh G M22. Business Analytics and Performance Management in IndiaPavnesh Kumar, Siddhartha Ghosh, and Kiran Chaudhary

"Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis"-- Provided by publisher.

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