Validating Goal-Oriented Hypotheses of Business Problems Using Machine Learning: An Exploratory Study of Customer Churn. - Sam Supakkul; Robert Ahn; Ronaldo Gonçalves Junior; Diana Villarreal; Liping Zhao 001; Tom Hill; Lawrence Chung (BigData, 2020)

Towards High Quality Recommendations: A Goal-Oriented and Ontology-Based Interactive Approach. - Ronaldo Gonçalves; Robert Ahn; Tom Hill; Lawrence Chung (SEKE, 2020)

Discovering Business Problems Using Problem Hypotheses: A Goal-Oriented and Machine Learning-Based Approach. - Robert Ahn; Ronaldo Gonçalves Junior; Tom Hill; Lawrence Chung; Sam Supakkul; Liping Zhao 001 (BigComp, 2021)

Validating Business Problem Hypotheses: A Goal-Oriented and Machine Learning-Based Approach. - Robert Ahn; Sam Supakkul; Liping Zhao 001; Kirthy Kolluri; Tom Hill; Lawrence Chung (BigData, 2021)

A Goal-Oriented Approach for Preparing a Machine-Learning Dataset to Support Business Problem Validation. - Robert Ahn; Sam Supakkul; Liping Zhao 001; Kirthy Kolluri; Tom Hill; Lawrence Chung (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Risk Analysis for Collaborative Systems during Requirements Engineering (S). - Kirthy Kolluri; Robert Ahn; Lawrence Chung; Tom Hill (SEKE, 2021)

Identifying Risks for Collaborative Systems during Requirements Engineering: An Ontology-Based Approach. - Kirthy Kolluri; Robert Ahn; Tom Hill; Julie R. Rauer; Lawrence Chung (SEKE, 2022)