Tag: E-mail

Use R for Business- Competition worth $ 20,000 #rstats

All you contest junkies, R lovers and general change the world people, here’s a new contest to use R in a business application

http://www.revolutionanalytics.com/news-events/news-room/2011/revolution-analytics-launches-applications-of-r-in-business-contest.php

REVOLUTION ANALYTICS LAUNCHES “APPLICATIONS OF R IN BUSINESS” CONTEST

$20,000 in Prizes for Users Solving Business Problems with R

 

PALO ALTO, Calif. – September 1, 2011 – Revolution Analytics, the leading commercial provider of R software, services and support, today announced the launch of its “Applications of R in Business” contest to demonstrate real-world uses of applying R to business problems. The competition is open to all R users worldwide and submissions will be accepted through October 31. The Grand Prize winner for the best application using R or Revolution R will receive $10,000.

The bonus-prize winner for the best application using features unique to Revolution R Enterprise – such as itsbig-data analytics capabilities or its Web Services API for R – will receive $5,000. A panel of independent judges drawn from the R and business community will select the grand and bonus prize winners. Revolution Analytics will present five honorable mention prize winners each with $1,000.

“We’ve designed this contest to highlight the most interesting use cases of applying R and Revolution R to solving key business problems, such as Big Data,” said Jeff Erhardt, COO of Revolution Analytics. “The ability to process higher-volume datasets will continue to be a critical need and we encourage the submission of applications using large datasets. Our goal is to grow the collection of online materials describing how to use R for business applications so our customers can better leverage Big Analytics to meet their analytical and organizational needs.”

To enter Revolution Analytics’ “Applications of R in Business” competition Continue reading “Use R for Business- Competition worth $ 20,000 #rstats”

Text Analytics World in New York

There is a 15 % discount if you want to register for Text Analytics World next month-

Use Discount Code AJAYNY11

October 19-20, 2011 at The Hilton New York

http://www.textanalyticsworld.com/newyork/2011

Text Analytics World Topics & Case Studies - Oct 19-20 in NYC

Text Analytics World NYC (tawgo.com) is the business-focused event for text analytics professionals,
managers and commercial practitioners. This conference delivers case studies, expertise and resources
to leverage unstructured data for business impact.
Text Analytics World NYC is packed with the top predictive analytics experts, practitioners, authors and
business thought leaders, including keynote addresses from Thomas Davenport, author of Competing
on Analytics: The New Science of Winning, David Gondek from IBM Research on their Jeopardy-Winning
Watson and DeepQA, and PAW Program Chair Eric Siegel, plus special sessions from industry heavy-
weights Usama Fayyad and John Elder.
CASE STUDIES:

TAW New York City will feature over 25 sessions with case studies from leading enterprises in
automotive, educational, e-commerce, financial services, government, high technology, insurance,
retail, social media, and telecom such as: Accident Fund, Amdocs, Bundle.com, Citibank, Florida State
College, Google, Intuit, MetLife, Mitchell1, PayPal, Snap-on, Socialmediatoday, Topsy, a Fortune 500
global technology company, plus special examples from U.S. government agencies DoD, DHS, and SSA.

HOT TOPICS:

TAW New York City's agenda covers hot topics and advanced methods such as churn risk detection,
customer service and call centers, decision support, document discovery, document filtering, financial
indicators from social media, fraud detection, government applications, insurance applications,
knowledge discovery, open question-answering, parallelized text analysis, risk profiling, sentiment
analysis, social media applications, survey analysis, topic discovery, and voice of the customer and other
innovative applications that benefit organizations in new and creative ways.

WORKSHOPS: TAW also features a full-day, hands-on text analytics workshop, plus several other pre-
and post-conference workshops in analytics that complement the core conference program. For more
info: www.tawgo.com/newyork/2011/analytics-workshops
For more information: tawgo.com
Download the conference preview:

Conference Preview for TAW New York, October 19-20 2011


View the agenda at-a-glance: textanalyticsworld.com/newyork/2011/agenda

Register by September 2nd for Early Bird Rates (save up to $200):
textanalyticsworld.com/newyork/2011/registration
If you'd like our informative event updates, sign up at:
http://www.textanalyticsworld.com/subscription.php
To sign up for TAW group on LinkedIn:
www.linkedin.com/e/gis/3869759

For inquiries e-mail regsupport@risingmedia.com or call (717) 798-3495.

OTHER ANALYTICS EVENTS:
Predictive Analytics World for Government: Sept 12-13 in DC – www.pawgov.com
Predictive Analytics World New York City: Oct 16-21 – www.pawcon.com/nyc

Text Analytics World New York City: Oct 19-20 – www.tawgo.com/nyc
Predictive Analytics World London: Nov 30-Dec 1 – www.pawcon.com/london
Predictive Analytics World San Francisco: March 4-10, 2012 – www.pawcon.com/sanfrancisco
Predictive Analytics World Videos: Available on-demand – www.pawcon.com/video
Also has two sessions on R

Sunday, October 16, 2011


Half-day Workshop
Room: Madison

R Bootcamp
Click here for the detailed workshop description

  • Workshop starts at 1:00pm
  • Afternoon Coffee Break at 2:30pm – 3:00pm
  • End of the Workshop: 5:00pm

Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer

[ Top of this page ] [ Agenda overview ]

Monday, October 17, 2011


Full-day Workshop
Room: Madison

R for Predictive Modeling: A Hands-On Introduction
Click here for the detailed workshop description

  • Workshop starts at 9:00am
  • Morning Coffee Break at 10:30am – 11:00am
  • Lunch provided at 12:30 – 1:15pm
  • Afternoon Coffee Break at 2:30pm – 3:00pm
  • End of the Workshop: 4:30pm

Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer

Calling #Rstats lovers and bloggers – to work together on “The R Programming wikibook”

so you think u like R, huh. Well it is time to pay it forward.

Message from a dear R blogger, Tal G from Tel Aviv (creator of R-bloggers.com and SAS-X.com)

———————————————————————————————————-
Calling R lovers and bloggers – to work together on “The R Programming wikibook”
Posted: 20 Jun 2011 07:05 AM PDT

This post is a call for both R community members and R-bloggers, to come and help make The R Programming wikibook be amazing:

Dear R community member – please consider giving a visit to The R Programming wikibook. If you wish to contribute your knowledge and editing skills to the project, then you could learn how to write in wiki-markup here, and how to edit a wikibook here (you can even use R syntax highlighting in the wikibook). You could take information into the site from the (soon to be) growing list of available R resources for harvesting.

Dear R blogger, you can help The R Programming wikibook by doing the following:

Write to your readers about the project and invite them to join.
Add your blog’s R content as an available resource for other editors to use for the wikibook. Here is how to do that:
First, make a clear indication on your blog that your content is licensed under cc-by-sa copyrights (*see what it means at the end of the post). You can do this by adding it to the footer of your blog, or by writing a post that clearly states that this is the case (what a great opportunity to write to your readers about the project…).
Next, go and add a link, to where all of your R content is located on your site, to the resource page (also with a link to the license post, if you wrote one). For example, since I write about other things besides R, I would give a link to my R category page, and will also give a link to this post. If you do not know how to add it to the wiki, just e-mail me about it (tal.galili@gmail.com).
If you are an R blogger, besides living up to the spirit of the R community, you will benefit from joining this project in that every time someone will use your content on the wikibook, they will add your post as a resource. In the long run, this is likely to help visitors of the site get to know about you and strengthen your site’s SEO ranking. Which reminds me, if you write about this, I always appreciate a link back to my blog

* Having a cc-by-sa copyrights means that you will agree that anyone may copy, distribute, display, and make derivative works based on your content, only if they give the author (you) the credits in the manner specified by you. And also that the user may distribute derivative works only under a license identical to the license that governs the original work.

———-

Three more points:

1) This post is a result of being contacted by Paul (a.k.a: PAC2), asking if I could help promote “The R Programming wikibook” among R-bloggers and their readers. Paul has made many contributions to the book so far. So thank you Paul for both reaching out and helping all of us with your work on this free open source project.

2) I should also mention that the R wiki exists and is open for contribution. And naturally, every thing that will help the R wikibook will help the R wiki as well.

3) Copyright notice: I hereby release all of the writing material content that is categoriesed in the R category page, under the cc-by-sa copyrights (date: 20.06.2011). Now it’s your turn!

———-

List of R bloggers who have joined: (This list will get updated as this “group writing” project will progress)

R-statistics blog (that’s Tal…)
Decisionstats.com (That’s me)
……………………………………………………………………………….
3) Copyright notice: I hereby release all of the writing material content of this website, under the cc-by-sa copyrights (date: 21.06.2011). Now it’s your turn!

https://decisionstats.com/privacy-3/

Content Licensing-
This website has all content licensed under
http://creativecommons.org/licenses/by-sa/3.0/
You are free:
to Share — to copy, distribute and transmit the work
to Remix — to adapt the work

Tableau Interactive "Viz" Contest

The Las Vegas Sign.
Image via Wikipedia
One more contest- open only for US though
but the prizes are hmm okay. The catch is you have to use the software Tableau created 
not R or J or ggobi or ggplot or java

Check out http://www.tableausoftware.com/public/biz-viz-contest/?=decisionstats

Tableau Interactive “Viz” Contest

AS FEATURED AT

Win a trip to Vegas and a chance for $2,000 & an iPad2

Are you a business, finance or real estate geek? This contest is for you! In cooperation with The Economist Ideas Economy conference, the Tableau Software Interactive “Viz” Contest will focus on business, finance and real estate data… Find some data then use Tableau Public to analyze and visualize it. That’s all it takes.

What you’ll win

A 3-day trip to Las Vegas and a chance to win $2,000 & an iPad2

The winner chosen by our judges will also take away a free roundtrip ticket to attend the2011 Tableau Customer Conference. This includes 3 night’s accommodations at theEncore and a chance to compete in the Iron Viz championship with the winners of two other contests. The winner of Iron Viz will take away a new iPad2, and $2,000.

Cash for the crowd favorite

After entering you’ll receive a custom bit.ly link to your viz. Tweet, Facebook and e-mail that link to everyone you can! Whoever gets the most clicks through their link will become our Crowd Favorite and receive a $250 debit card.

Recognition from The Economist Ideas Economy

Your winning entry will be announced live on stage at The Economist Ideas Economy conference, and Tableau will issue a national press release naming the winner.

Everyone who enters gets a t-shirt!

Everyone who enters will get a very cool Tableau t-shirt. The winner will also receive increased Tableau Public limits and a free copy of Tableau Desktop (a $1999 value)!

How it works

(Click on the steps to expand and get the details.)
 Check the box to view all steps and details.

  • Step 1

    Download the FREE Tableau Public tool


  • Step 2

    Create and publish your “viz” to your blog or website


  • Step 3

    Submit your entry formFill out the entry form and submit by June 3, 2011. A panel of judges will evaluate all submissions based on overall appeal, design elements, and data analysis/findings.

Contest Rules Summary

The following contest is open to legal residents of the United Sates only. You must publish your “viz” on your blog or website to be qualified. Submission form must be submitted by June 3, 2011. Winners will be notified by June 7, 2010. Incomplete applications will not be accepted.

Please read all the rules in their entirety before entering.

Read details at http://www.tableausoftware.com/public/biz-viz-contest/?=decisionstats
Related articles

Topic Models in R- search documents for similarity by frequency

Zombie-process
Image via Wikipedia

From the marvelous lovely Journal of Statistical Software, ignored by mainstream corporatia, but beloved to academia. here is one more interesting and very timely paper.

Can be used to grade stdudents homework, catch terrorists as in plagiarists , search engine spam linkers. Enjoy!

Predictive Analytics World Conference –New York City and London, UK

Please use the following code  to get a 15% discount on the 2 Day Conference Pass:  AJAYNY11.

Predictive Analytics World Conference –New York City and London, UK

October 17-21, 2011 – New York City, NY (pawcon.com/nyc)
Nov 30 – Dec 1, 2011 – London, UK (pawcon.com/london)

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

Case Studies: How the Leading Enterprises Do It

Predictive Analytics World focuses on concrete examples of deployed predictive analytics. The leading
enterprises have signed up to tell their stories, so you can 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.

PAW NEW YORK CITY 2011

PAW’s NYC program is the richest and most diverse yet, featuring over 40 sessions across three tracks
– including both X and Y tracks, and an “Expert/Practitioner” track — so you can witness how predictive
analytics is applied at major companies.

PAW NYC’s agenda covers hot topics and advanced methods such as ensemble models, social data,
search marketing, crowdsourcing, blackbox trading, fraud detection, risk management, survey analysis,
and other innovative applications that benefit organizations in new and creative ways.

WORKSHOPS: PAW NYC also features five full-day pre- and post-conference workshops that
complement the core conference program. Workshop agendas include advanced predictive modeling
methods, hands-on training, an intro to R (the open source analytics system), and enterprise decision
management.

For more see http://www.predictiveanalyticsworld.com/newyork/2011/

PAW LONDON 2011

PAW London’s agenda covers hot topics and advanced methods such as risk management, uplift
(incremental lift) modeling, open source analytics, and crowdsourcing data mining. Case study
presentations cover campaign targeting, churn modeling, next-best-offer, selecting marketing channels,
global analytics deployment, email marketing, HR candidate search, and other innovative applications
that benefit organizations in new and creative ways.

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

industry heavyweights in the business.

For more see http://www.predictiveanalyticsworld.com/london

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, social gaming, 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, human resource decision-making, law enforcement, sales forecasting, 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 PAW can be found at http://www.predictiveanalyticsworld.com/
pressroom.php

VENDORS. Meet the vendors and learn about their solutions, software and service. 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:
http://www.predictiveanalyticsworld.com

View videos of PAW Washington DC, Oct 2010 — now available on-demand:
http://www.predictiveanalyticsworld.com/online-video.php

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

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

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

For inquiries e-mail regsupport@risingmedia.com or call (717) 798-3495.

Related Articles

Spam Analysis Akismet-WPStats-Blogging

Here is a brief dataset I out after one hour of cutting and pasting from WordPress.com’s creative data style formats. It shows spam,comments,traffic, and number of posts written monthly.

Clearly monthly traffic is directly related to number I write (suppose A + B* Posts)

But Spam is showing a discontinuous growth especially after a big month (in which Reddit helped)

Akismet had some missing historical values (which is curious)

So what can we do with this dataframe in R or any other statistical software.

Spam Analysis
Month Spam detected Traffic excluding spam Posts Written Traffic /Post Spam /Post Spam/Traffic Ham detected Missed spam False positives
Feb-11 1848 5079 18 282.17 102.6667 36.39% 4.00 6.00 0.0%
Jan-11 3724 10238 35 292.51 106.4 36.37% 0.00 3.00 0.0%
Dec-10 3676 10345 35 295.57 105.0286 35.53% 8.00 6.00 0.0%
Nov-10 3680 11723 71 165.11 51.83099 31.39% 24.00 3.00 0.0%
Oct-10 2292 16430 71 231.41 32.28169 13.95% 24.00 18.00 0.0%
Sep-10 0 17913 63 284.33 0 0.00% 0.00 0.00 0.0%
Aug-10 0 5403 17 317.82 0 0.00% 0.00 0.00 0.0%
Jul-10 2 5041 10 504.1 0.2 0.04% 0.00 0.00 0.0%
Jun-10 5 4271 11 388.27 0.454545 0.12% 10.00 1.00 0.0%
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