
Marry Christmas and happy new year to all Data Mining Research readers. I hope you enjoyed reading DMR this year. I am looking forward to see you again in January 2008. Enjoy the break and pray that Santa correctly mines your personal data in order to send you the present you really want :-)

The end of the year is soon here. It is thus time to make an overview of topics and discussions that have lead this blog during 2007. First, I want to thank each reader and each person commenting and therefore contributing the the life of this blog. I am also glad that many people subscribed…
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I have discovered plenty of data mining blogs recently. They are either general to the field or specific to a tool such as Oracle for example. I'm sure you will find something interesting. The blogroll of Data Mining Research has thus been updated. Updates of the blogroll are listed below:
- Data Miners Blog: Written by experts in data mining, you have the opportunity to ask questions that will be answered through
After some discussions on KDnuggets forums, I have started a new Google search engine related to data mining:
The aim of such a search engine is to gather contributions of several people in the domain of data mining. Everybody interested can participate by adding websites, forums, news, research articles, white papers, blogs, etc. that are related to data mining.
The links you can provide are
I have recently bought the book
Super Crunchers: Why Thinking-by- Numbers Is the New Way to Be Smart by Ian Ayres. The book gives examples of data mining applications in nowadays companies. Instead of focusing on equations and algorithms, Ayres gives insights into data mining and statistics through real case studies. I will write a review about this book on Data Mining Research when I finish it.If you're already…
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Thanks for your participation on the last Data Mining Research poll regarding the DIKW (Data, Information, Knowledge and Wisdom) hierarchy. 61 people answered to the poll. Here are the final results:
- The hierarchy is fine since the terms used have always the same meaning nowadays then before: 13%
- The hierarchy is fine, but the meaning or usage of terms should evolve (e.g. "information science" should be renamed "knowledge science"): 43%
- The