Machine Learning Times
Machine Learning Times

data mining

Data Mining Is a Risky Business

 In the last few weeks a vigorous discussion on the legality of the NSA’s data mining efforts in the war on terror has raged. The revelations by former NSA contractor turned whistleblower Edward Snowden have concerned American citizens and governments around the world. No one had grasped the size and scope of US intelligence-gathering. Most

It is a Mistake to… Focus on Training Results

(Part 2 of 11 of the Top 10 Data Mining Mistakes, drawn largely from Chapter 20 of the Handbook of Statistical Analysis and Data Mining Applications)...

Why Don’t We Talk about Deployment?

The Cross Industry Standard Process for Data Mining (CRISP-DM) is the leading published methodology for Data Mining (DM), and by extension, Predictive Analytics (PA). I use it routinely as I lead PA projects and when I...

The NSA, Link Analysis and Fraud Detection

The recent leaks about the NSA's use data mining and predictive analytics has certainly raised awareness of our field and has resulted in hours of discussions with family, relatives, friends and reporters about what predictive analytics can...

What the NSA Can’t Do With Your Data (Probably)

 The National Security Agency probably isn’t spying on you. It’s just measuring you for risk, according to two experts on the science of predictive analytics and data mining. The NSA’s Prism program, it has now been revealed,...

Top 10 Analytic Mistakes–Today #0: Lacking Relevant Data

Mining data to extract useful and enduring patterns remains a skill arguably more art than science. Pressure enhances the appeal of early apparent results, but it is all too easy to fool oneself. How can one resist...

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