Added by piALGO on October 17, 2013 at 8:32am — No Comments
There’s been a great deal of discussion over the past several weeks regarding data mining and predictive models. Terms like “meta data” and “algorithm” are fast moving from the domain of IT practitioners and into the realm of water cooler discussion. This might be a good opportunity to briefly review some of these concepts in order to better understand data mining practices and standards.
First, some terms.
Meta Data - refers…Continue
Added by James Sullivan on August 15, 2013 at 6:00am — No Comments
During analysis of movements of individuals in public places, there are only two dimensions that can represent movement of an individual, shown via data saved between starting and end point, even incorporating elevators and stairs to different (shop) levels). That is a multi-linear way of looking at movements of individuals in crowds in a specific environment. Most big shopping corporates use these kinds of analysis methods.
But what if (like in 3D environments) movement can be up and…Continue
Added by Emmanuel P. Gruijs on May 24, 2013 at 3:14am — No Comments
Big Data can help in mapping and understanding customer behaviors, and in developing one-to-one marketing programs or innovative services. However, Big Data is too often presented as a technological capability subsequently requiring armies of data scientists to mine and analyse data.
Yes, managing and exploiting the growing amount of internal and external data is a necessary condition to steer business performance. But it is far from a sufficient condition.
In a recent meeting…Continue
Added by Patrick Glenisson on June 16, 2012 at 6:53am — No Comments
From MIT's Technology Review -
"Data science is so new that there are no textbooks on the subject, and no university curricula designed to turn out data scientists. Yet it's integral to everything from quantitative trading on Wall Street to ad targeting on the web and the optimization of real-world supply chains."