Posts Tagged ‘ PMML ’

Taking R to the Limit: Large Datasets; Predictive modeling with PMML and ADAPA

August 30, 2010
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Taking R to the Limit: Large Datasets; Predictive modeling with PMML and ADAPA

During the first part of our meeting, Ryan Rosario presented on the topic of large datasets in R. Video, slides and code of the talk “Taking R to the Limit: Large Datasets” by Ryan Rosario at the Los Angeles area … Continue reading →

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Comprehensive Change Detection Suite: Free & Available

October 15, 2009
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October 2009 Open Data Group has launched a changed detection project on Google Code, http://code.google.com/p/change-detection/. This is an introduction and demonstration of using open source software and the Data Mining Group’s Predictive Model Markup Language (PMML) standard to perform data analytics.  Specifically, we show how using multiple Baseline models over segments can be used to detect of

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Analytic Infrastructure – Three Trends

May 11, 2009
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Analytic Infrastructure – Three Trends

This is a post about systems, applications, services and architectures for building and deploying analytics. Sometimes this is called analytic infrastructure. In this post, we look at several trends impacting analytic infrastructure. Trend 1. Open source analytics has reached Main Street. R, which was first released in 1996, is now

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Analytic Infrastructure – Three Trends

May 11, 2009
By
Analytic Infrastructure – Three Trends

This is a post about systems, applications, services and architectures for building and deploying analytics. Sometimes this is called analytic infrastructure. In this post, we look at several trends impacting analytic infrastructure. Trend 1. Open source analytics has reached Main Street. R, which was first released in 1996, is now

Read more »

Analytic Infrastructure – Three Trends

May 11, 2009
By

This is a post about systems, applications, services and architectures for building and deploying analytics. Sometimes this is called analytic infrastructure. In this post, we look at several trends impacting analytic infrastructure. Trend 1. Open source analytics has reached Main Street. R, which was first released in 1996, is now

Read more »

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