Course Code

processmining

Duration

21 hours (usually 3 days including breaks)

Requirements

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

Overview

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.