Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA
Kirk Borne

Kirk Borne
Professor of Astrophysics and Computational Science, George Mason University

Website | @KirkDBorne

Dr. Kirk Borne is a Transdisciplinary Data Scientist and an Astrophysicist. He is Professor of Astrophysics and Computational Science in the George Mason University School of Physics, Astronomy, and Computational Sciences. He has been at Mason since 2003, where he teaches and advises students in the graduate and undergraduate Computational Science, Informatics, and Data Science programs. Previously, he spent nearly 20 years in positions supporting NASA projects, including an assignment as NASA’s Data Archive Project Scientist for the Hubble Space Telescope, and as Project Manager in NASA’s Space Science Data Operations Office. He has extensive experience in big data and data science, including expertise in scientific data mining and data systems. He has published over 200 articles (research papers, conference papers, and book chapters), and given over 200 invited talks at conferences and universities worldwide. In these roles, he focuses on achieving big discoveries from big data through data science, and he promotes the use of information and data-centric experiences with big data in the STEM education pipeline at all levels. He believes in data literacy for all!

Sessions

10:40am–11:20am Thursday, 02/19/2015
Office Hour
Location: Table C
Kirk Borne (George Mason University )
If you’re interested in streaming data, you need to spend some time with Kirk. He’ll discuss techniques, algorithms, and approaches to discovery in streaming data, including anomaly, correlation, association, and class discovery. Read more.
4:00pm–4:40pm Thursday, 02/19/2015
Machine Data / IoT
Location: 230 A
Kirk Borne (George Mason University )
Average rating: ***..
(3.67, 3 ratings)
I will introduce USA’s next big astronomy project (LSST) and describe how this telescope requires massive data stream analytics – to discover and respond to exotic rapidly changing events in the Universe. I will discuss parallels between big data astronomy and Decision Science-as-a-Service for Business, Cybersecurity Information and Event Management, and Marketing Automation using Hadoop. Read more.