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.
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Machine Learning: An Introduction |
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3 | (10) |
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Linear Regression for Predictive Analytics |
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13 | (8) |
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Directional Data Analysis |
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21 | (10) |
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31 | (14) |
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Part II Predictive Analytics Applications |
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Click-Through Rate Estimation Using CHAD) Classification Tree Model |
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45 | (14) |
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Predicting Success Probability in Professional Tennis Tournaments Using a Logistic Regression Model |
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59 | (8) |
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Hausdorff Path Clustering and Hidden Markov Model Applied to Person Movement Prediction in Retail Spaces |
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67 | (10) |
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Improving Email Marketing Campaign Success Rate Using Personalization |
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77 | (8) |
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Predicting Customer Churn for DTH: Building Churn Score Card for DTH |
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85 | (20) |
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Applying Predictive Analytics in a Continuous Process Industry |
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105 | (14) |
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Part III Machine Learning Applications |
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Automatic Detection of Tuberculosis Using Deep Learning Methods |
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119 | (12) |
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Connected Cars and Driving Pattern: An Analytical Approach to Risk-Based Insurance |
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131 | (10) |
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Part IV Human Resource Analytics |
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Analytics-Led Talent Acquisition for Improving Efficiency and Effectiveness |
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141 | (20) |
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Assessing Student Employability to Help Recruiters Find the Right Candidates |
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161 | (16) |
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Part V Operations Analytics |
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Estimation of Fluid Flow Rate and Mixture Composition |
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177 | (12) |
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Part VI Analytics in Finance |
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Loan Loss Provisioning Practices in Indian Banks |
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189 | (14) |
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Modeling Commodity Market Returns: The Challenge of Leptokurtic Distributions |
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203 | (24) |
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OLS: Is That So Useless for Regression with Categorical Data? |
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227 | (16) |
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Estimation of Parameters of Misclassified Size Biased Borel Tanner Distribution |
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243 | (18) |
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A Stochastic Feedback Queuing Model with Encouraged Arrivals and Retention of Impatient Customers |
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261 | (14) |
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Part VIII Econometric Applications |
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Banking Competition and Banking Stability in SEM Countries: The Causal Nexus |
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275 | |
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Prof. Arnab K Laha takes keen interest in understanding how analytics, machine learning and artificial intelligence can be leveraged to solve complex problems of business and society. His areas of research and teaching interest include Advanced Data Analytics, Quality Management and Risk Modeling. He has published papers in national and international journals of repute in these areas and has served on the editorial board of several journals including Statistical Analysis and Data Mining: The ASA Data Science Journal. He was featured among Indias best business school professors by Business Today in 2006 and Business India in 2012 and was named as one of the 10 Most Prominent Analytics Academicians in India by Analytics India Magazine in 2014 and 2017. He is the convener of the biennial IIMA series of conferences on Advanced Data Analysis, Business Analytics and Intelligence. He is the author of the popular book on analytics entitled "How to Make the Right Decision" published by Penguin-Random House. He has conducted large number of training programmes and undertaken consultancy work in the fields of business analytics, quality management and risk management.
Lisainfo e-raamatute kohta