Machine Learning and Predictive Analytics in Accounting, Finance and Management

An Explicative and Predictive Study of Employee Attrition using Tree-based Models

Stephen Taylor, New Jersey Institute of Technology
Nesreen El-Rayes, New Jersey Institute of Technology
Michael Smith, New Jersey Institute of Technology

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

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Automating lead scoring with machine learning: An experimental study

Robert Nygård, Idea Development BBN, Åbo Akademi University
József Mezei, Åbo Akademi University

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

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Enhancing Customer Satisfaction Analysis with a Machine Learning Approach: From a Perspective of Matching Customer Comment and Agent Note

Qiang Wei, Tsinghua University
Xiaowei Shi, Tsinghua University
Quan Li, BT Telecom
Guoqing Chen, Tsinghua University

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

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Improving Credit Risk Analysis with Cluster Based Modeling and Threshold Selection

Ajay Byanjankar, Åbo Akademi University

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

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Introduction to the Minitrack on Machine Learning and Predictive Analytics in Accounting, Finance and Management

Peter Sarlin, Silo.AI and Hanken School of Economics
József Mezei, Åbo Akademi University

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

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Towards Optimal Free Trade Agreement Utilization through Deep Learning Techniques

Johannes Lahann, German Research Center for Artificial Inteilligence (DFKI) and Saarland University
Martin Scheid, German Research Center for Artificial Inteilligence and Saarland University
Peter Fettke, German Research Center for Artificial Inteilligence (DFKI) and Saarland University

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

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