Data Mining Camp – October 2011

Date

Saturday, October 15, 2011 - 8:30am - 7:30pm

Venue

eBay Town Hall

eBay Town Hall
2161 North 1st Street
San Jose, CA 95131

Event Details

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

Attendees: WIFI is available for your electronics.

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.

Registration count as of 10/14/11: Camp: 509, Morning Class:182.

Help us plan

Join our forum to discuss session suggestions! 

Schedule for Saturday, October 15th, 2011

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.

Annual Sponsor
UCSC Extension in Silicon Valley

UCSC Extension

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

Ebay

eBay

Founded in 1995, eBay Inc. is the worldwide leader in shopping and payments on the web. Every day, we connect hundreds of millions of buyers and sellers — and we continue to find new ways to help people do business around the world.


eBay is looking to hire data miners and others... US eBay Jobs

Gold Sponsors

Ebay

ACM SIG KDD

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

Adobe Analytics

Adobe 

The Adobe Digital Marketing Suite is a collection of web analytics and website optimization products that provide insight into the performance of online marketing initiatives, empowering organizations to make informed decisions, and ensure the success of online marketing programs.

 

 

 

Ebay

Conrady Applied Science

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

The new 5.0 release of BayesiaLab is the world’s only comprehensive software package for learning, editing and analyzing Bayesian networks. It's perhaps the easiest way to apply artificial intelligence tools for data mining and knowledge discovery in data sets, such as consumer surveys or CRM data. BayesiaLab leverages all of the powerful properties of Bayesian networks and integrates them into a single desktop application.

 

Netflix Logo

Netflix 

Netflix is the best way to find movies you love, and watch them instantly.
See details on

Netflix is looking to hire data miners and others.... Netflix jobs

quancast

Quantcast

 

Signup for free direct audience measurement for all website owners including traffic, demographics, business, lifestyle, interests and more.

 

Audience targeting for buyers and sellers of digital media. Reach millions of new prospects just like your best customers (Quantcast Lookalikes). Better represent your properties and grow campaign sales. Learn more.

Rapleaf

Rapleaf

Introducing InstantData.

Getting useful data for your email list has never been easier. 

 

 

 

Revolution Analytics

Revolution Analytics

Revolution Analytics (formerly Revolution Computing) is the leading commercial provider of software & support or the popular open source R statistics language.   Revolution R products help make predictive analytics accessible to every type of user & budget.

TRY: Download Revolution R FREE

LEARN: FREE Enterprise Software for Academics

WORK: Production-Grade Analytics with Revolution R Enterprise

Check out the: Bay Area useR Group (R Programming)

SAS logo

SAS, the Power to Know

SAS Enterprise Miner (EM): Using data mining to unearth valuable insights for better decisions with less time and effort

See details on SAS's annual data mining conference, which was Oct 2010 in Las Vegas

Read a white paper on data mining software from Forrester

Check out the Bay Area SAS Users Group

Salford

Salford Systems – Data Mining Solutions

Try Salford Predictive Miner

2012 Analytics and Data Mining Conference, May 2012

 

 

Salford

Terapeak 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.

Zementis

Zementis – The Secret Behind Active Predictive Analytics

A suite of software solutions for agile deployment, integration, and execution of predictive analytics. Our products provide a secure, fast, and scalable platform to deploy your predictive models and business rules.

PROMOTION AND PROMOTION PARTNERS:

To Volunter: Please find more details 

 

ORGANIZERS

Greg Makowski
Greg Makowski's picture Greg is the overall organizer, sponsor contact, co-marketing contact
Patricia Hoffman, Ph.D.
Patricia Hoffman's picture Patricia is the Data Mining SIG Chair.  She is developing the technical content for the Data Mining Camp.  She consults with start-ups and established companies.  Patricia and Mike Bowles are currently teaching Machine Learning Classes at the Hacker Dojo and are available for corporate training sessions.
Mike Bowles, Ph.D.
Mike Bowles's picture Mike is the Volunteer Coordinator. Mike is teaching the morning class on Big Data.

Event page provided by ACM