Posts Tagged ‘ predictive analytics ’

Traffic prediction contest closing soon

August 22, 2010
By

A quick reminder that the IEEE traffic-prediction competition closes soon. If you're thinking of entering you'll need to get the description of your R-based solution in by September 13. IEEE ICDM Contest: Road Traffic Prediction for Intelligent GPS Navigation

Read more »

How Google and Facebook are using R

August 4, 2010
By
How Google and Facebook are using R

This is an older (2009) video from the kickoff meeting of the San Francisco Bay Area R Users Group. It was a panel discussion within the Predictive Analytics World conference. Video courtesy by Ron Fredericks of LectureMaker (click on the … Continue reading →

Read more »

R: a “Rock Star” for Business Intelligence

July 15, 2010
By

TDWI (The Data Warehousing Institute) recently published a comprehensive article about R and increasing level of activity around it from commercial organizations, including Revolution Analytics. The article opens with: In statistical circles, "R" is the name of an open source programming language for statistical analysis. These days, it might also be shorthand for "rock star." Many of the companies...

Read more »

Norman Nie on Internet Evolution radio

July 13, 2010
By

Revolution CEO Norman Nie just recorded a live podcast with Terry Sweeney of Internet Evolution Radio. In the 30-minute interview, Norman talked about the history of R, his time with SPSS, development plans for Revolution R, and how predictive analytics is impacting businesses, the Web, and even political opinion. You can hear the recorded interview at the link below....

Read more »

Competition: Predicting traffic

July 8, 2010
By

Here's an interesting competition that may well lend itself to R: the IEEE International Conference on Data Mining is running a contest to find the best way of predicting traffic problems. There are three separate contests: Predicting congestion: a series of measurements from 10 selected road segments is given and the goal is to make short-term predictions of future...

Read more »

Dynamic Modeling 3: When the first-order difference model doesn’t cut it

June 12, 2010
By
Dynamic Modeling 3: When the first-order difference model doesn’t cut it

Data must be selected carefully.  The predictive usefulness of the model is grossly diminished if outliers taint the available data.  Figure 1, for instance, shows the Defense spending (as a fraction of the national budget) between 1948 and 1968. Note how the trend curve (as defined by our linear difference model from the last post: see

Read more »

Thoughts on Making Data Work

June 9, 2010
By

I really enjoyed all four talks at today's online conference, Making Data Work. (Disclosure: Revolution sponsored this conference.) I thought the four speakers together gave a great overview of issues related to the processing, analysis, and visualization of big data. Mike Driscoll started off with a useful categorization for data size. "Small Data" (<10Gb) fits in the memory of...

Read more »

Supercharging business analytics with R

June 2, 2010
By

Really pleased with how our webinar today, Supercharge BI and Dashboards with Predictive Analytics, turned out. Steve Miller from OpenBI gave a great introduction to the motivations and need for predictive analytics. Andrew Lampitt from Jaspersoft was next up, with an overview of the Jaspersoft system for BI reports and dashboards. My section focused mainly on R and its...

Read more »

Reminder: Supercharging BI with R webinar tomorrow

June 1, 2010
By

If you haven't done so already, it's not too late to register for tomorrow's 1-hour webinar, Supercharge BI and Dashboards with Predictive Analytics. I'll be one of the presenters, talking about R and its applications for business intelligence. The topics and speakers will be: Introduction: Analytics and BI (Steve Miller, OpenBI) How BI Complements Predictive Analytics (Andrew Lampitt, Jaspersoft)...

Read more »

Statistical learning with MARS

March 24, 2010
By

Steve Miller at the InformationManagement blog has been looking at predictive analytics tools for business intelligence applications, and naturally turns to the statistical modeling and prediction capabilities of R. Says Steve: The R Project for Statistical Computing continues to dazzle in the open source world, with exciting new leadership at Revolution Computing promising to align commercial R with business...

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)