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For more information: http://www.sfbayacm.org/event/data-mining-camp-october-2011

For Registration: http://www.sfbayacm.org/content/dm-camp-registration

For Training Class Information and Registration: http://www.sfbayacm.org/introduction-mining-big-data-map-reduce

Data Mining Camp

Saturday, October 15, 2011 - 8:30am - 5:30pm

eBay
2161 North 1st Street
San Jose, CA 95131

http://youtu.be/aEcW9qwdopw

Join Our Unconference or camp and use the day to talk about data mining. Registration is required to allow our sponsor to provide refreshements.

WHAT is an UNCONFERENCE or CAMP? An unconference is an event where users suggest topics, get together and discuss them in detail. This camp is focused on Data Mining, Analytics, Cloud Computing, big data analysis and the various applications of these technologies. There is an option to join the SF Bay ACM for $20 per year.

Our last Data Mining Camp had 375 participants.
Registration count as of 10/6/11: Camp: 325, Morning Class:102.

Help us plan Join our forum to discuss session suggestions!

Tentative Schedule for Saturday, October 15th, 2011

•8:30 Pick up name tag, coffee, network
•9:15 - 11:30 Training Class - Mike Bowles, Ph.D. and Tricia Hoffman, Ph.D.; Introduction to Mining Big Data with Map Reduce (the cost of the training class is $35.00. Register using the Buy Now button below.
•11:15 - 07:30pm FREE Data Mining Camp (11:15 – 7:30pm) (beverages & snacks included with RSVP)
•12:50 Keynote: Machine Learning on Big Data for Personalized Internet Advertising: Michael Recce, VP Modeling and Optimization at Quantcast

See the Full Schedule and fill out the registration form to attend the Camp. We use Paypal to accept payment for the morning class. A credit card or Paypal account may be used.

Attendees: WIFI is available for your electronics.

Annual Sponsor http://www.sfbayacm.org/sites/default/files/uploads/images/ucsc_logo.jpg (http://www.ucsc-extension.edu/)

UCSC Extension (http://www.ucsc-extension.edu/)

We offer an accredited, convenient, and attractively priced alternative to degree programs, serving the advanced professional education needs of Silicon Valley and beyond. Each year, more than 10,000 adults who live and work in the greater South Bay area study here to earn University of California certified credentials that are widely recognized in a range of industries. We are the region's leading educator of professionals in more than 40 areas of expertise that are in high demand among Silicon Valley employers.

Annual Sponors support all ~25 SF Bay ACM events per year, are thanked at all events and marketing communications. Ask Greg Makowski how you can become an annual sponor of this non-profit, volunteer run, professional society. There are options for specific types of underwriting, such as video and video editing.

Platinum Sponsor http://www.sfbayacm.org/sites/default/files/uploads/images/ebay-logo-large.jpg (http://www.ebay.com/)

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ACM SIG KDD (http://www.kdd.org/)

SIGKDD aims to provide the premier forum for advancement and adoption of the "science" of knowledge discovery and data mining

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Utilize Bayesian Networks for market research and business intelligence right from your desktop!

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Check out the: Bay Area useR Group (R Programming) (https://www.meetup.com/R-Users)

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SAS, the Power to Know (http://www.sas.com/)

SAS Enterprise Miner (EM): (http://www.sas.com/technologies/analytics/datamining/miner/) Using data mining to unearth valuable insights for better decisions with less time and effort

See details on SAS's annual data mining conference, (http://www.sas.com/events/dmconf/index.html) which was Oct 2010 in Las Vegas

Read a white paper on data mining software from Forrester (http://www.sas.com/news/analysts/forresterwave-predictive-analytics-dm-104388-0210.pdf)

Check out the Bay Area SAS Users Group (http://www.basas.com/)

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Terapeak (http://www.terapeak.com/) provides eBay market research solutions, helping eBay sellers become more profitable through the use of eBay listing data, focusing on profitability, seller research, and listing optimization. Learn from the best to become the best.

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