There is an interesting post on eWeek.com entitled
Data Mining Goes Nuclear that deals with the danger of making easy conclusions on some data. In this post, the author gives a very good real-life example of easy and incorrect conclusions that can be made in the case of insurances. I think this can serve as a good example to illustrate the fact that people can easily incorrectly analyze data…
Come on, don't be shy, there are some places left in the plane. The destinations? Here they are:
- Will has a quick, although important, post on using rand and randn in Matlab
- Matthew proposes a post on estimating the number of bloggers regarding their country
- Kevin Hillstrom writes about web analytics tools on his blog MineThatData
Please stop smoking and fasten your seatbelt for take off…

FreeTechBooks.com, a site which lists "
free online computer science and engineering books and lecture notes" has an article about a data mining book: Data Mining - Desktop Survival Guide. It is written by Graham Williams working at
Togaware.The book provides a practical guide to
doing data mining. Covered audience is mainly the…
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This post continues a
previous one about Microsoft SQL Server and its possibilities for mining data.
DMReview, a journal dealing with data mining in practice, has an interesting article about SQL Server. In the last section of this article, Donald Farmer (the author) writes more particularly about using SQL Server for mining data. This gives a good idea of possible applications for SQL Server in the field of…
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I was recently going through the book of Hornick et al. named
Java Data Mining. Unlike this
earlier post, the focus today is not about using Java for data mining. However, I read a line in this book which makes me react. Here is the line: "
These users [marketers] either know nothing about the techniques of data mining or do not need to know anything about data
The week-end is nearly here, so I propose you a trip to other weblogs dealing with data mining:
- Kevin Hillstrom has a very interesting post on the dependence upon Google tools on his blog MineThatData. He gives an example in the case of marketers.
- Will Dwinnel is writing about error measures on Abbott Analytics blog. He goes from the standard Root Mean Square (RMS) error to classifier accuracy.
I wish…
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