Process Mining

• A basic understanding of logic, sets, and statistics
• Basic computer skills

Audience

• Data science professionals
• Anyone interested in understanding and applying process modeling and data mining

Process mining, or Automated Business Process Discovery (ABPD), is a technique that applies algorithms to event logs for the purpose of analyzing business processes. Process mining goes beyond data storage and data analysis; it bridges data with processes and provides insights into the trends and patterns that affect process efficiency. 

Format of the Course

• The course starts with an overview of the most commonly used techniques for process mining. We discuss the various process discovery algorithms and tools used for discovering and modeling processes based on raw event data. Real-life case studies are examined and data sets are analyzed using the ProM open-source framework.

Introduction

Overview

• Discovering, analyzing and re-thinking your processes

Types of Process Mining

• Discovery, conformance and enhancement

Process Mining Workflow

• From log data analysis to response and action

Other Tools for Process Mining

• PMLAB, Apromoro
• Commercial offerings

Summary and Conclusion