- Start Date:
June 13, 2014
- Event Start Time:
10:00 AM
- Event End Time:
11:00 AM
- Organizers:
Gene Fiorini
- Seminar Series:
REU Seminar
- Presenter(s):
Polo Chau - Georgia Tech
- Event Location:
DIMACS Seminar room
- Abstract:
Learn key data mining concepts and tools, and how to integrate them with HCI methods for big data analytics, through non-technical introduction and case studies, and technical examples. This two-part course takes a practical approach to introduce you to the principles, tools and pitfalls in big data analytics. Part 1: A non-technical introduction illustrating where HCI and data mining as fields of research and practice can benefit from each other with illustrative case studies, followed by a review of tools for analyzing datasets from small to huge. Part 2: A more technical discussion of how to "do it right", such as: How to choose a "big data" platform for your work (or do you need one at all)? How to find an algorithm that is right for your data? How to evaluate your approach appropriately? And more...