Sunday, August 31, 2003
Software for Projects
You can use any software you like for the projects. I recommend that you use tools like Perl+PDL, Matlab, SAS, or S-Plus so as not to get too bogged down in software issues. Feel free to either use available implementations of data mining algorithms (many are publically available, e.g., see the UC Irvine Machine Learning Data Archive for a list of data mining/machine-learning software or you can implement an algorithm directly in a language of their choice (naturally you will learn more if you opt for the 2nd option, but please make sure you understand the complexity of the project you are proposing and that you will have time to finish it). Check the kdnuggets site for an extensive listing of software tools.
You can use any software you like for the projects. I recommend that you use tools like Perl+PDL, Matlab, SAS, or S-Plus so as not to get too bogged down in software issues. Feel free to either use available implementations of data mining algorithms (many are publically available, e.g., see the UC Irvine Machine Learning Data Archive for a list of data mining/machine-learning software or you can implement an algorithm directly in a language of their choice (naturally you will learn more if you opt for the 2nd option, but please make sure you understand the complexity of the project you are proposing and that you will have time to finish it). Check the kdnuggets site for an extensive listing of software tools.
Introduction
This is the weblog for the data mining class. I will post announcements here. Also, please post your questions here - chances are someone in the class will be interested. To post a message (annonymously unless you give your name) click on the "powered by blogger" icon and login with username stat588 and password stat588.
This is the weblog for the data mining class. I will post announcements here. Also, please post your questions here - chances are someone in the class will be interested. To post a message (annonymously unless you give your name) click on the "powered by blogger" icon and login with username stat588 and password stat588.
