Introduction to Event Log Mining with R

Event logs are everywhere and represent a prime source of Big Data. Event log sources run the gamut from e-commerce web servers to devices participating in globally distributed Internet of Things (IoT) architectures. Even Enterprise Resource Planning (ERP) systems produce event logs! Given the rich and varied data contained in event logs, mining these assets is a critical skill needed by every data scientist, business analyst, data analyst, program manager, and product manager. In this tutorial, our presenter, Dave Langer will show how easy it is to get started mining your event logs using the OSS tools of R and ProM.

Dave will cover the following during the presentation:
• The scenarios and benefits of event log mining
• The minimum data required for event log mining
• Ingesting and analyzing event log data using R
• Process Mining with ProM
• Event log mining techniques to create features suitable for Machine Learning models
• Where you can learn more about this very handy set of tools and techniques

*R source code will be made available via GitHub here:
https://github.com/EasyD/IntroToEvent...

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