Data Mining and Predictive Analytics

I had another subject in mind to post today, but after reading Will Dwinnell's comment on my blog, I started reading his blog (curiosity is a good skill!). In fact, the blog is co-written by Dean Abbott. Posts on their blog are very technical and when reading them, you can easily see that they have experience in the domain of data mining. Their blog originally started in 2003 and seems to have a second life since October 2006. These days, they write on topics such as clustering and softwares, among others. I strongly recommend you this blog.

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Smile! You have just been mined!

You think this title is a provocative one? Indeed you're right. Data mining is a powerful tool. Therefore, the way you use the notion of mining something or (worst) someone's behavior will certainly generate curiosity as well as anxiety. This is not justified in my blog, since you haven't really be mined (you already knew it?). In fact, only some information of your IP address has been mined. Therefore, I'm not able to say who you are, respectable reader of my blog, but only from which town you come from. This is one of the many possibilities proposed by Google Analytics. A plot of some of the geographic connections to this blog for 2006 is given below.

Not all geographic connections are taken into account in this picture.
This function allows you to know how many people connect to your website and from where. Of course, the idea is not to look for someone precisely (to know that someone connects from New York is of no help to be honest), but rather to have a worldwide view of reader locations.

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