2205 152nd Ave NE, Redmond, WA
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/Data Analyst, and Program/Product Manager. At this meetup, 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 for those folks who wish to follow along during the presentation
David is a veteran BI, analytics, and data science professional. He manages a team of technical Program Managers that own the mission-critical data warehouse, BI, big data, and analytics platforms used to run Microsoft's $10+ Billion supply chain. While obsessed about everything in Data Science, Dave's current passions are text analytics, event log mining, and mathematical programming. David obtained a BA in Economics and a MS in Computer Science from the University of Washington.
Meetup will be filmed and posted on our YouTube channel for those who can't make it!
Food and refreshments will be served.
CEO | Chief Data Scientist, Data Science Dojo
Marketing Manager, Data Science Dojo
I'm a tester in the Azure team working on generating product statistics from product behavior.
Sr. Data Scientist @ Microsoft
astrophysicist interested in open-source tech and big data
Working in ML
Looking to pick up some technical skills and learning data science principles.