Process enhancement in process mining involves analyzing and improving existing business processes to make them more efficient, effective, and optimized. It involves identifying bottlenecks, inefficiencies, and areas of improvement in the process and implementing changes to enhance the overall process.

Process enhancement differs from process discovery and conformance checking in the following ways:

1. Process Discovery: Process discovery is the initial step in process mining that involves extracting process models from event logs to understand how a process is currently being executed. Process discovery focuses on understanding the actual flow of activities in the process without any judgment on its efficiency or effectiveness. In contrast, process enhancement aims to identify areas for improvement and optimize the process.

2. Conformance Checking: Conformance checking involves comparing the actual execution of a process with a predefined model to identify deviations or non-compliance with the desired process model. It focuses on ensuring that the process is being executed as intended. Process enhancement, on the other hand, goes a step further by not only identifying deviations but also analyzing the process to suggest improvements and optimizations.

In summary, while process discovery and conformance checking provide insights into how a process is being executed and whether it complies with the desired model, process enhancement focuses on optimizing and improving the process to make it more efficient and effective.