Including regression (i.e. standard linear regression, including multiple regression), and logistic regression is a very good idea. They are both very useful tools, and relatively easy to code up.
But PLEASE DON'T call this "data mining" in the final release. Regression is a statistical analysis tool that can be used (or abused) in the higher-level process of what some people call "data mining". Data mining is the process of searching through many possible models in an attempt ... more
Including regression (i.e. standard linear regression, including multiple regression), and logistic regression is a very good idea. They are both very useful tools, and relatively easy to code up.
But PLEASE DON'T call this "data mining" in the final release. Regression is a statistical analysis tool that can be used (or abused) in the higher-level process of what some people call "data mining". Data mining is the process of searching through many possible models in an attempt to find relationships; this is different from carrying out a regression.
I think data mining would be a great addition -- particularly regressions. I realize that regressions can be implemented by solving for a system of equations, but that is much more complicated to implement, and can get nasty for non-trivial regressions. I posted about this in the forum, and found a few commercial packages: http://www.extremeoptimization.com/quickstart/PolynomialRegressionCS.aspx and http://www.kdkeys.net/forums/thread/605.aspx, as well as a free package at http://www.kdkeys.net/forums/thread/605.aspx but it doesn't seem to be very powerful (the free package), nor would it integrate as nicely with the rest of Iridium.
Wish I could be of more help, but I'm well versed in the theory behind regressions and am used to using stats packages to do statistical analysis, but would love to be able to access functions like "linear_regression" or "logistic_regression" from within c# in a clean, well-programmed way!
anthony.brockwell
Including regression (i.e. standard linear regression, including multiple regression), and logistic regression is a very good idea. They are both very useful tools, and relatively easy to code up.
But PLEASE DON'T call this "data mining" in the final release. Regression is a statistical analysis tool that can be used (or abused) in the higher-level process of what some people call "data mining". Data mining is the process of searching through many possible models in an attempt ... more
Including regression (i.e. standard linear regression, including multiple regression), and logistic regression is a very good idea. They are both very useful tools, and relatively easy to code up.
But PLEASE DON'T call this "data mining" in the final release. Regression is a statistical analysis tool that can be used (or abused) in the higher-level process of what some people call "data mining". Data mining is the process of searching through many possible models in an attempt to find relationships; this is different from carrying out a regression.
aeblank
typo: I'm *not well versed in the theory...
aeblank
I think data mining would be a great addition -- particularly regressions. I realize that regressions can be implemented by solving for a system of equations, but that is much more complicated to implement, and can get nasty for non-trivial regressions. I posted about this in the forum, and found a few commercial packages: http://www.extremeoptimization.com/quickstart/PolynomialRegressionCS.aspx and http://www.kdkeys.net/forums/thread/605.aspx, as well as a free package at http://www.kdkeys.net/forums/th... more
I think data mining would be a great addition -- particularly regressions. I realize that regressions can be implemented by solving for a system of equations, but that is much more complicated to implement, and can get nasty for non-trivial regressions. I posted about this in the forum, and found a few commercial packages: http://www.extremeoptimization.com/quickstart/PolynomialRegressionCS.aspx and http://www.kdkeys.net/forums/thread/605.aspx, as well as a free package at http://www.kdkeys.net/forums/thread/605.aspx but it doesn't seem to be very powerful (the free package), nor would it integrate as nicely with the rest of Iridium.
Wish I could be of more help, but I'm well versed in the theory behind regressions and am used to using stats packages to do statistical analysis, but would love to be able to access functions like "linear_regression" or "logistic_regression" from within c# in a clean, well-programmed way!