Data Mining Research Interview: Roberto Battiti

February 26, 2011 by Sandro Saitta · Leave a Comment
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Roberto_BattitiAfter reading the first chapters of Reactive Business Intelligence, I was suprised: what a clear way of presenting complex topics! I thus decided to ask a few question to one of the author, Roberto Battiti. To know more about their excellent book, read this post. Data Mining Research (DMR): Who are you and what is your background? Roberto Battiti (RB): I… Continue reading...
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Data Mining Book Review: Competing on Analytics

February 18, 2011 by Sandro Saitta · 1 Comment
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coaAfter reading the excellent book Analytics at Work, I went back in time to read the first book of Davenport and Harris. Competing on Analytics, The New Science of Winning is written for data miners and analytical people as well as for decision makers who are interested in analytics to drive their business. While Analytics at Work concerns any… Continue reading... | 1 Comment
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Communicating statistics to the general public

February 12, 2011 by Sandro Saitta · 2 Comments
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One of the problem data miners are often confronted is how to present statistics to the general audience. It can be the public, other researchers, decision makers, etc. This issue is discussed in a recent article in Decision Science News entitled "Some ideas on communicating risks to the general public". The article discusses issues when sharing probabilities, conditional probabilities, risks, frequencies, etc. with the public. The author provides excellent examples to… Continue reading... | 2 Comments
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Data mining “one click” applications

February 6, 2011 by Sandro Saitta · 5 Comments
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I recently read an interesting article from Analytics Magazine entitled "Managing fundamental tradeoffs" by Mu Zhu. This article is interesting since it explains what prevent easy automation of data mining tools. According to the author: "Algorithms used to uncover such a relationship – for example, neural networks and support vector machines – must be sufficiently flexible. This is because only flexible algorithms can be adapted to the vastly different situations that… Continue reading... | 5 Comments
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