HCI Group at UC Merced Presents

Dr. Mahima Agumbe Suresh

Assistant Professor

Department of Computer Engineering

San Jose State University, CA

Friday, April 12, 2019 at 4:30 PM in GLCR 145

Visualizing Differences in Process Variants

Abstract

Business processes provide customers with a specific service by executing an organized collection of tasks. E.g., processing a loan request in a bank is composed of several steps including customer submitting an application form and approvals by different levels of managers. Process mining is a data mining technique applied to event logs from these business processes to identify trends and patterns. Often, service delivery organizations provide the same business processes to multiple clients. E.g., two different banks may use a loan approval process offered by the same service provider with specific service level agreements (e.g., guarantees on maximum waiting time for a customer). Visualizing how the process varies across clients is extremely valuable to the decision makers in the service delivery organization to determine the key causes of service level agreement violations. This lecture will detail the different challenges in characterizing the differences between "process variants" and presenting them to users in an intuitive, flexible, and scalable manner.

Short Bio

Mahima Agumbe Suresh is an Assistant Professor at San Jose State University. She received her PhD from the Department of Computer Science and Engineering at Texas A&M University in December 2015. After her PhD, she was a postdoctoral researcher at Xerox Research Labs, India and a visiting assistant professor at Texas A&M University. Her research interests include Cyber-Physical Systems, Internet of Things, and Data Analytics for Smart City Applications and Augmented Reality for Safety and Education.