Data Mining 2010:SAS Conference in Vegas

An interesting conference which I attended last year, this year one of the main guests is an ex professor of mine at UTenn. I am India bound this year though for family reasons.

http://www.sas.com/events/dmconf/over.html

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Early Bird Special
Register for M2010 before Sept. 17 and save $200 on conference fees!

Additional Data Mining Resources
Find additional data mining resouces including links to whitepapers, webinars, audio seminars, videos, blogs and online communities.

Location
Caesars Palace
Las Vegas, NV

Conference: October 25-26
Pre-conference workshops: October 24
Post-conference training: October 27-29

The M2010 Data Mining Conference is an international educational conference and exhibition for data mining practitioners including analysts, statisticians, programmers, consultants and anyone involved with data management within their organization, Hosted by SAS, M2010 is now in its 13th year and has become the world’s largest data mining conference, attracting over 600 people from various industries including Financial Services, Retail, Insurance, Technology, Education, Healthcare, Pharmaceutical, Government and more.

This conference is the top-choice for serious education and career networking. Conference highlights include

  • 6 keynotes
  • 36 sessions
  • 6 session tracks
  • exhibit hall
  • poster session
  • SAS software training
  • educational workshops
  • special events
  • networking opportunities
  • predictive modeling certification testing event.

Session Topics

  • Business applications
  • Data augmentation
  • Perspectives from the financial services industry
  • Fraud detection
  • Perspectives from the healthcare industry
  • New and emerging technologies
  • Perspectives from the retail industry
  • Data mining in marketing
  • Retention and Life Cycle Analysis
  • Text mining
  • And more! (View session abstracts.)

Predictive Analytics World Conference

A note from Predictive Analytics World  Conference


Predictive Analytics World Coming October 19-20, 2010 to Washington, DC

Dates:        October 19-20, 2010
Location:   Washington, DC

Predictive Analytics World (pawcon.com) is the business-focused event for predictive analytics professionals, managers and commercial practitioners, covering today’s commercial deployment of predictive analytics, across industries and across software vendors.  The conference delivers case studies, expertise and resources to achieve two objectives:

1) Bigger wins:  Strengthen the business impact delivered by predictive analytics

2) Broader capabilities:  Establish new opportunities with predictive analytics

The Top Experts

PAW’s October 2010 program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers Piyanka Jain of PayPal, Andrew Pole of Target and Program Chair Eric Siegel, Ph.D. — plus special sessions from industry heavy-weights Usama Fayyad, Ph.D. and John F. Elder, Ph.D.

Case Studies: How the Leading Enterprises Do It

Predictive Analytics World focuses on concrete examples of deployed predictive analytics.  Hear from the horse’s mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling, and what kind of business impact it delivers.

And the leading enterprises have responded, signing up to tell their stories. PAW’s October program includes over 25 sessions across two tracks – an “All Audiences” and an “Expert/Practitioner” track — so you can witness how predictive analytics is applied at

1-800-FLOWERS, CIBC, Corporate Executive Board, Forrester, Ingram Micro, LifeLine, MetLife, Miles Kimball, Monster, Paychex, PayPal (eBay), SunTrust, Target, UPMC Health Plan, Xerox, and Yahoo!, plus special examples from theU.S. government agencies DoD, DHS, and SSA.

October’s agenda covers hot topics and advanced methods such as social data, text mining, search marketing, risk management, survey analysis, consumer privacy, sales force optimization and other innovative applications that benefit organizations in new and creative ways.

Join PAW and access the best keynotes, sessions, exposition, expert panel, live demos, networking coffee breaks, reception, birds-of-a-feather lunches, leading brand-name enterprise leaders, and industry heavyweights in the business.

Workshops

Three pre- and post-event workshops complement the core conference program:

“The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes”
Instructor:  John F. Elder, Ph.D., CEO and Founder, Elder Research, Inc.
www.predictiveanalyticsworld.com/dc/2010/predictive_modeling_methods.php

“Hands-On Predictive Analytics”
Instructor:  Dean Abbott, President, Abbott Analytics
www.predictiveanalyticsworld.com/dc/2010/handson_predictive_analytics.php

“Driving Enterprise Decisions with Business Analytics and Business Rules”
Instructor:  James Taylor, CEO, Decision Management Solutions
www.predictiveanalyticsworld.com/dc/2010/predictive_analytics_work.php

Cross-Industry Applications

Predictive Analytics World is the only conference of its kind, delivering vendor-neutral sessions across verticals such as banking, financial services, e-commerce, education, government, healthcare, high technology, insurance, non-profits, publishing, retail and telecommunications

And PAW covers the gamut of commercial applications of predictive analytics, including response modeling, customer retention with churn modeling, product recommendations, fraud detection, online marketing optimization, behavior-based advertising, insurance pricing, sales forecasting, text mining and credit scoring.

Why bring together such a wide range of endeavors?  No matter how you use predictive analytics, the story is the same:  Predicatively scoring customers optimizes business performance.  Predictive analytics initiatives across industries leverage the same core predictive modeling technology, share similar project overhead and data requirements, and face common process challenges and analytical hurdles.

Rave Reviews

“Hands down, best applied, analytics conference I have ever attended. Great exposure to cutting-edge predictive techniques and I was able to turn around and apply some of those learnings to my work immediately. I’ve never been able to say that after any conference I’ve attended before!”

Jon Francis
Senior Statistician
T-Mobile

Read more:  Articles and blog entries about February and October’s PAW can be found at www.predictiveanalyticsworld.com/pressroom.php

People Who Need People

Vendors:

*    Meet the vendors and learn about their solutions, software and services
*    Discover the best predictive analytics vendors available to serve your needs
*    Learn what they do and see how they compare

Colleagues

*    Mingle, network and hang out with your best and brightest colleagues
*    Exchange experiences over lunch, coffee breaks and the conference reception connecting with those professionals who face the same challenges as you

Get Started

If you’re new to predictive analytics, kicking off a new initiative, or exploring new ways to position it at your organization, there’s no better place to get your bearings than Predictive Analytics World.  See what other companies are doing, witness vendor demos, participate in discussions with the experts, network with your colleagues and weigh your options!

For more information, see:
www.predictiveanalyticsworld.com

For a complete overview of the conference agenda, see:
www.predictiveanalyticsworld.com/sanfrancisco/2010/agenda_overview.php

Be sure to register by September 10th for the Early Bird rate (save $200):
www.predictiveanalyticsworld.com/register.php

Save more with this posting’s promotional offer:  Take an additional $150 off the Early Bird – a total savings of $350 – or the regular registration fee with this registration discount code: AOH150

What is predictive analytics?  See the Predictive Analytics Guide:
www.predictiveanalyticsworld.com/predictive_analytics.php

If you’d like our informative event updates, sign up at:
www.predictiveanalyticsworld.com/notifications.php

To sign up for the PAW group on LinkedIn, see:
www.linkedin.com/e/gis/1005097

For inquiries e-mail registration@predictiveanalyticsworld.com or call (717) 798-3495.

CommeRcial R- Integration in software

Some updates to R on the commercial side.

Revolution Computing is apparently now renamed Revolution Analytics. Hopefully this and the GUI development will help pay more focused attention on working in R in a mainstream office situation. I am still waiting for David Smith’s cheery hey-guys-we-changed-again blog post though at a new site called inside-r.org/ or his old blog site at blog.revolution-computing.com

They probably need to hire more people now – Curt Monash, noted all-things-data software guru has the inside dope here

Techworld writes more here at http://www.techworld.com.au/article/345288/startup_wants_r_alternative_ibm_sas

The company’s software is priced “aggressively” versus IBM and SAS. A single supported workstation costs $2,000 for an annual subscription. Pricing for server-based licenses varies depending on the implementation.

But Revolution Analytics faces a tough challenge from those larger vendors, as well as the likes of XLSolutions, which offers R training and a competing software package, R-Plus.

SPSS though continues to integrate R solidly and also march ahead with Python (which is likely to be the next gen in statistical programming if it keeps up) http://insideout.spss.com/

With the release of Version 18 of IBM SPSS Statistics and the Developer product, easy-to-install versions of the Python and R materials are posted.  In particular, look for the R Essentials link on the main page or from the Plugins page.  It installs the R Plugin, the correct version of R, and a bunch of example R integrations as bundles.  It’s much easier to get going with this now.

Netezza , a business intelligence vendor promises more integration and even a training in R based analytics here

R Modeling for TwinFin i-Class

Objective
Learn how to use TwinFin i-Class for scaling up the R language.

Description
In this class, you’ll learn how to use R to create models using huge data and how to create R algorithms that exploit our asymmetric massively parallel (AMPP®) architecture. Netezza has seamlessly integrated with R to offload the heavy lifting of the computational processing on TwinFin i-Class. This results in higher performance and increased scalability for R. Sign up for this class to learn how to take advantage of TwinFin i-Class for your R modeling. Topics include:

  1. R CRAN package installation on TwinFin i-Class
  2. Creating models using R on TwinFin i-Class
  3. Creating R algorithms for TwinFin i-Class

Format
Hands-on classroom lecture, lab exercises, tour

Audience
Knowledgeable R users – modelers, analytic developers, data miners

Course Length
0.5 day: 12pm-4pm Wednesday, June 23 OR 8am-12pm Thursday, June 24 OR 1pm-5pm Thursday, June 24, 2010

Delivery
Enzee Universe 2010, Boston, MA

Student Prerequisites

  • Working knowledge of R and parallel computing
  • Have analytic, compute-intensive challenges
  • Understanding of data mining and analytics”

My favourite GUI in stats , JMP (also from SAS Institute) is going to deploy R integration as soon as this September – Read more here- http://www.sas.com/news/preleases/JMP-to-R-integrationSGF10.html

Also SAS-IML studio is not lagging behind

The next release of SAS/IML will extend R integration to the server environment – enabling users to deploy results in batch mode and access R from SAS on additional platforms, such as UNIX and Linux.

I am kind of happy at one of the best GUI’s integrating with one of the most innovative stats softwares. It’s like two of your best friends getting married. (see screenshots of the softwares)

All in all- R as a platform making good overall progress from all sides of the corporate software spectrum which can only be good for R developers as well as users/students.

K D D is back

Check out the most happening conference to be in 2010 in the realms of big data and data communities.

Its KDD time, folks.

Time for the PAWS Conference

I just got an email from the great Dr Eric Siegel, one of my many mentors in this field of learning analytics and data. There are just three more days left for the Early Bird Price- so if you are doing your Media Planning Budget – it is a good time to register here. You can click on the screenshot itself to go to Registration Page.

Data Mining Presentation at M2009 by Dr Vincent Granville

Here is a Data Mining Presentation by Dr Vincent Granville at M 2009.

I could not see the presentation as I know him only through remote internet communication, but he did recommend me on LinkedIn and for my application for the University of Tennessee.

here is the presentation on the docs on Google DOCs

http://docs.google.com/fileview?id=0B9YMMvghK2ytM2IyMzQzYjUtY2VlOC00ZmQ1LWJjZWItZjU2YjdmMTRlYTc4&hl=en

ps-

Hey Doc,
How’s Paris doing.
Ajay

pps-

The download is also available here.

Granville(2)

ppps- He is the same person whom I worked last winter as a research ass is tant and got paid 28 cents per 1000 rows for all the statisticians in the world – read more about that here

https://decisionstats.wordpress.com/2009/11/30/weak-security-in-internet-databases-for-statisticians/