Advances in Analytics and Applications

  • Arnab Kumar┬áLaha

Part of the Springer Proceedings in Business and Economics book series (SPBE)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Brief Overviews

    1. Front Matter
      Pages 1-1
    2. Sayan Putatunda
      Pages 3-11
    3. Arnab Kumar Laha
      Pages 13-19
    4. K. C. Mahesh
      Pages 21-30
    5. Sumit Kumar Yadav
      Pages 31-41
  3. Predictive Analytics Applications

  4. Machine Learning Applications

    1. Front Matter
      Pages 117-117
    2. Manoj Raju, Arun Aswath, Amrit Kadam, Venkatesh Pagidimarri
      Pages 119-129
  5. Human Resource Analytics

    1. Front Matter
      Pages 139-139
    2. Girish Keshav Palshikar, Rajiv Srivastava, Sachin Pawar, Swapnil Hingmire, Ankita Jain, Saheb Chourasia et al.
      Pages 141-160
  6. Operations Analytics

    1. Front Matter
      Pages 175-175
    2. Pradyumn Singh, G. Karthikeyan, Mark Shapiro, Shiyuan Gu, Bill Roberts
      Pages 177-185
  7. Analytics in Finance

    1. Front Matter
      Pages 187-187
    2. Divya Gupta, Sunita Mall
      Pages 189-201
    3. Arnab Kumar Laha, A. C. Pravida Raja
      Pages 203-224
  8. Methodology

    1. Front Matter
      Pages 225-225
    2. Atanu Biswas, Samarjit Das, Soumyadeep Das
      Pages 227-242
  9. Econometric Applications

    1. Front Matter
      Pages 273-273
    2. Manju Jayakumar, Rudra P. Pradhan, Debaleena Chatterjee, Ajoy K. Sarangi, Saurav Dash
      Pages 275-297

About this book


This book includes selected papers submitted to the ICADABAI-2017 conference, offering an overview of the new methodologies and presenting innovative applications that are of interest to both academicians and practitioners working in the area of analytics. It discusses predictive analytics applications, machine learning applications, human resource analytics, operations analytics, analytics in finance, methodology and econometric applications. The papers in the predictive analytics applications section discuss web analytics, email marketing, customer churn prediction, retail analytics and sports analytics. The section on machine learning applications then examines healthcare analytics, insurance analytics and machine analytics using different innovative machine learning techniques. Human resource analytics addresses important issues relating to talent acquisition and employability using analytics, while a paper in the section on operations analytics describe an innovative application in oil and gas industry. The papers in the analytics in finance part discuss the use of analytical tools in banking and commodity markets, and lastly the econometric applications part presents interesting banking and insurance applications.


Business Analytics Big Data Stream Data Machine Learning Business Intelligence

Editors and affiliations

  • Arnab Kumar┬áLaha
    • 1
  1. 1.Indian Institute of Management AhmedabadAhmedabadIndia

Bibliographic information