A Data Science Central Community
For all the strides that data mining tools have made, using them well still requires hard work and critical thought. In this article on the nuts & bolts of DM, we review a real workhorse for data mining and analysis - the histogram. Among the histograms encountered most frequently in practice are the following: “money”, “count”, and “outlier”. We will look at each one of them in turn…. Read the…Continue
Added by Daniel Graettinger on June 19, 2012 at 7:07pm — No Comments
In the data mining process, where do data scientists like you and me add the most value? Is it in exploring the data, uncovering anomalies and seeing relationships between elements? In selecting transformations for the elements to improve their representations for modeling and analysis? In building sophisticated predictive models? For my money, the answer is ‘none of…Continue
Added by Daniel Graettinger on April 4, 2012 at 11:30am — No Comments
Another recent article from Discovery Corps, Inc. president Tim Graettinger: Grab Bag 2: More Frequently-Asked Questions about Data Mining.
"While helping present a monthly webinar on Data Mining, I'm asked some challenging and really pivotal questions about DM and predictive analytics:
Added by Daniel Graettinger on June 20, 2011 at 8:09pm — No Comments