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Applied Advanced Analytics: 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence

Applied Advanced Analytics: 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence (Paperback)

Arnab Kumar Laha (엮은이)
Springer
377,420원

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Applied Advanced Analytics: 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence
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책 정보

· 제목 : Applied Advanced Analytics: 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence (Paperback) 
· 분류 : 외국도서 > 경제경영 > 운영분석
· ISBN : 9789813366589
· 쪽수 : 246쪽
· 출판일 : 2022-06-10

목차

Part A: Expository Briefs

Chapter 1 : Shikha Verma_Data Streams

Chapter 2 : Pravida Raja_Robust Statistics

Chapter 3 : Arnab Kumar Laha_Functional Data Analysis

Chapter 4 : Murari Mitra_Reliability Shock Models and Applications

 

Part B: Artificial Intelligence Applications

Chapter 5: Sandip Pal, Amol A. Bhave and Kingshuk Banerjee_Explainable Artificial Intelligence Model: Analysis of Neural Network Parameters

Chapter 6 : Sayan Putatunda_Care2Vec: A Deep learning approach for the classification of self-care problems in physically disabled children

Chapter 7 : Abhishek Khushwaha, Saurav Chakravorty and Paulami Das_Style Scanner - Personalized visual search and recommendation

Chapter 8 : Sanjay Thawakar and Vibhu Srivastav_Artificial Intelligence based Cost Reduction for Customer Retention Management in the Indian Life Insurance Industry

 

Part C: Credit Risk Analytics

Chapter 9 : Shreya Piplani and Geetika Bansal_Optimization of Initial Credit Limit using comprehensive customer features

Chapter 10 : Aditi Singh and Nishtha Jain_Mitigating Agricultural Lending Risk: An advanced analytical approach

 

Part D: Analytics and Machine Learning in Retail

Chapter 11 : Seinjuti Chatterjee, Ravi Shankar Mishra, Sagar Raichandani and Prasad Joshi_Response prediction and ranking models for large scale E-commerce search

Chapter 12 : Akshay Jain, Shrey Jain and Nitin Merh_Application of Association Rule Mining in a clothing Retail Store

 

Part E: Analytics and Machine Learning in Operations

Chapter 13 : Rishabh Agrawal and R. P. Suresh_Improving Blast Furnace Operations using Advanced Analytics

Chapter 14 : Kalyani Dacha, Abir Sinha and Ramya Cherukupalli_Food Index Forecasting

Chapter 15 : R. Sujatha and B. Uma Maheswari_Implementing Learning Analytic Tools in Predicting Students’ Performance in a Business School

 

Part F : New Methodologies

Chapter 16 : Atanu Biswas_An optimal Response Adaptive Design for Multi Treatment Clinical Trials with Circular

Responses

Chapter 17 : Shyamal Ghosh, Priyanka Majumder and Murari Mitra_Stochastic comparisons of systems with heterogeneous log-logistic components

Chapter 18 : Biswaroop Mukherjee and Abhishek Halder_Stacking With Dynamic Weights on Base Models

 

Part G: Applications in Finance and Economics

Chapter 19 : Avijit Ghosh , Aditya Chourasiya , Lakshay Bansal and Abhijeet Chandra_Connectedness of Markets with Heterogeneous Agents and the Information Cascades

Chapter 20 : Rudra P. Pradhan_Role of Infrastructure and Taxation on Economic Growth of Middle Income Countries

Chapter 21 : Stuti Mohan and Swati Verma_Comparative study of different Benchmarking techniques: Evaluating performance of the Indian banking industry

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