Stock Prediction using Decision Tree
September 24, 2008 by Sandro Saitta · 9 Comments
Filed under: decision tree, stock exchange, stock picking, stock prediction, stock selection
Filed under: decision tree, stock exchange, stock picking, stock prediction, stock selection
This is the first post in a series on using Decision Tree for Stock Prediction. Here are the second, third, fourth and fifth posts.I have started applying data mining to finance for a few months now. I will thus give you an insight about my main project regarding stock market prediction… Continue reading... | 9 Comments
Data Mining with R
There exists many solutions to implement your data mining algorithms: C/C++, Java, Matlab, R, etc. Any of these languages have their advantages and drawbacks. In this post, I will consider R, since it is the one I am using at my job. Here is a list of the reasons why R is a good choice… Continue reading... | 8 CommentsData Mining Forums and Groups
September 12, 2008 by Sandro Saitta · 6 Comments
Filed under: data mining forums, data mining groups, data mining questions
Filed under: data mining forums, data mining groups, data mining questions
I regularly receive e-mails about data mining questions, both general and specific. When I can, I answer to these questions directly. Otherwise, I suggest some data mining forums or groups where the sender can put his question. Today, I decided to give a list of existing forums that are related to data mining: UCSD Data Mining Contest
September 10, 2008 by Sandro Saitta · Leave a Comment
Filed under: FairIsaac, UCSD, data mining contest
Filed under: FairIsaac, UCSD, data mining contest
Below, you can find information about the UCSD Data Mining Contest given by Fair Isaac and the University of California:Fair Isaac and the University of California, San Diego have recently announced the winners of the fifth annual UCSD data mining… Continue reading...Petabyte Age, Data Mining and Science
Natalie Glatzel has written a interesting post on the blog Tasty Data Goodies about an article of Chris Anderson, editor in chief at Wired. Chris' opinion is that scientific theory is now, in the age of Petabyte, becoming obsolete. He writes that "[...] science can advance even without coherent models [...]". Basically, according to Chris, mining huge amount of data to get knowledge kills scientific theory.As written by Natalie… Continue reading... | 3 CommentsData Mining Research
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