Data Mining SIG
San Francisco Bay Area Chapter of ACM
www.sfbayacm.org
In-Database Analytics: A Disruptive Technology
Presented by Marcos M. Campos, Technology Development Manager, Data Mining Technologies group, Oracle
Date: Wednesday, 11 July 2007, 6:30 PM
Time: 6:30pm - Pizza & Beverages (Courtesy: Copacast), 7:00pm - talk
Location: SAP LABS, Building D, 3410 Hillview Avenue, Palo Alto, CA (Google Maps | Yahoo! Maps | Mapquest)
Cost: Free and open to all who wish to attend, but membership is only $10/year.
Please RSVP if you plan to attend
Topic
Analytics matters. Study after study shows that analytics is a key competitive factor. However, the uptake of analytics by companies is still quite limited compared to its potential. There is a need for analytical technology that is easy to use, is scalable, operate on different types of data, and integrate easily within the overall information technology infrastructure.
This talk will discuss how In-Database Analytics is a technology well positioned to address these needs. It will also make the point that it is a disruptive technology that can change how analytics impacts organizations.
About the Speaker
Marcos M. Campos is Technology Development Manager for the Data Mining Technologies group at Oracle. Previously he was a Senior Scientist with Thinking Machines. Over the years he has been working on transforming databases into easy to use analytical servers.
He has created, led, and participated in the design and implementation of multiple in-database analytics projects, including: Oracle Personalization, a distributed real-time recommendation system, and Oracle Data Mining. He is an active contributor to the machine learning community through technical papers and participation in industry standards: PMML (XML) and JDM (Java Data Mining specification) . 数据挖掘研究院
Marcos is also the author of the popular Oracle Data Mining and Analytics blog.
UPCOMING EVENTS:
Wednesday, July 18: What Everyone Should Know About Open Source to be presented by Ron Goldman, Sun Microsystems Laboratories
Wednesday, August 8: Data Mining SIG: Bringing Data into the Web's Fabric: The Swivel Approach to be presented by Joseph M. Hellerstein, Professor of Computer Science at the University of California, Berkeley, and Sara Wood, Chief Data Officer, Swivel
Wednesday, September 12: Data Mining SIG: Finding without Searching: A Long-tail Social Commerce Story to be presented by Neel Sundaresan, Director, eBay Research Labs
