[學(xué)科前沿] 【2018新書】Advances in Analytics and Applications [推廣有獎(jiǎng)]

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slowry 發(fā)表于 2018-9-8 11:43:55 |只看作者 |壇友微信交流群|倒序 |AI寫論文

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Advances in Analytics and Applications, 2019 Edition
by Arnab Kumar Laha (Editor)

About the Author
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 India’s 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.

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.

Table of contents
Part I Brief Overviews
Machine Learning: An Introduction 3
Linear Regression for Predictive Analytics 13
Directional Data Analysis 21
Branching Processes 31
Part II Predictive Analytics Applications
Click-Through Rate Estimation Using CHAID Classification Tree Model 45
Predicting Success Probability in Professional Tennis Tournaments Using a Logistic Regression Model 59
Hausdorff Path Clustering and Hidden Markov Model Applied to Person Movement Prediction in Retail Spaces 67
Improving Email Marketing Campaign Success Rate Using Personalization 77
Predicting Customer Churn for DTH: Building Churn Score Card for DTH 85
Applying Predictive Analytics in a Continuous Process Industry 105
Part III Machine Learning Applications
Automatic Detection of Tuberculosis Using Deep Learning Methods 119
Connected Cars and Driving Pattern: An Analytical Approach to Risk-Based Insurance 131
Part IV Human Resource Analytics
Analytics-Led Talent Acquisition for Improving Efficiency and Effectiveness 141
Assessing Student Employability to Help Recruiters Find the Right Candidates 161
Part V Operations Analytics
Estimation of Fluid Flow Rate and Mixture Composition 177
Part VI Analytics in Finance
Loan Loss Provisioning Practices in Indian Banks 189
Modeling Commodity Market Returns: The Challenge of Leptokurtic Distributions 203
Part VII Methodology
OLS: Is That So Useless for Regression with Categorical Data? 227
Estimation of Parameters of Misclassified Size Biased Borel Tanner Distribution 243
A Stochastic Feedback Queuing Model with Encouraged Arrivals and Retention of Impatient Customers 261
Part VIII Econometric Applications
Banking Competition and Banking Stability in SEM Countries: The Causal Nexus 275

Series: Springer Proceedings in Business and Economics
Length: 297 pages
Publisher: Springer; 1st ed. 2019 edition (September 19, 2018)
Language: English
ISBN-10: 9811312079
ISBN-13: 978-9811312076

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