Hello. I'm writing to you from Salford Systems, the developer of the CART decision tree and MARS regression analysis software. CART and MARS were developed by senior researchers at UC Berkeley and Stanford University, and have roots in biostatistics, artificial intelligence and machine learning. I'd like to introduce you to our software and invite you to evaluate our products in your analytical work. Our software is easy, fast, and capable of handling very large data sets. In addition, it provides superb insights into data structure and works well in a large number of database environments (we read and write 85 different file formats and coexist with major database and statistical analysis systems).
This email contains information for downloading and activating our data mining products, CART and MARS. Please contact us at [EMAIL PROTECTED] with any question you may have. Here are the URL links and the two Passwords you can use with your own data for 30 days: They are both Fully Functional versions of CART 4.0 PRO and MARS 2.0. CART 4.0 PRO IMPORTANT: 30-DAY EVALUATION PASSWORD: C4020-6344-7425-EV1 http://www.salford-systems.com/evals/cartreg.html (9 & 22.5 Million Data Cell Capacity). MARS 2.0 IMPORTANT: 30-DAY EVALUATION PASSWORD: M200-19-2433-6339-EV1 http://www.salford-systems.com/evals/marsreg.html (2 & 4.8 Million Data Cell Capacity). Please Note: You will be given a choice of 2 different sizes for these programs. Depending on which size you choose, you will need at least 64mb or 128mb of available RAM. Also, here is a web link to a Quick 10-minute walk through of the CART and MARS products. This link shows excellent detail of real life data, and the intelligent default settings utilized by both of these modeling packages: http://www.salford-systems.com/walkabout/walkabout.html. ****************** If you have a slow or problematic Internet connection, I would highly recommend the following Free Download Accelerator which will speed up the download, and most importantly, will recover from any line drops automatically: http://www.downloadaccelerator.com/ Once you have installed Download Accelerator, run the program, and click on one of the URL's above to initiate the download. ****************** New features to CART Version 4.0 Pro include: Report Generator: Generate a complete report for any analysis including vital statistics, such as target variable, eligible predictors, tree diagram, gains and lift charts, variable importance rankings, all in a preformatted RTF (RichTextFormat) document. Variable Penalties: Penalize specific variables to reflect the cost of their acquisition, or to restrain their use unless sufficiently important. Automatic missing value indicators: A dummy variable indicating which records have missing values for a predictor can optionally be added to the list of eligible predictors. Fat file handling: Easily work with up to 8,000 predictors and still get fast results. CART is fast! Process a 30,000 record and 100 variable database in under one minute on a 400 mhz Pentium. Process a 200,000 record Web mining database with 200 predictors (many of which are several hundred level categoricals) in under 30 minutes. (See ReadMe file for full details). Again, should you have any questions please feel free to contact us. -- Best regards, Wilson Lai Salford Systems, San Diego, CA Tel. 619-543-8880 Fax. 619-543-8888 [EMAIL PROTECTED] http://www.salford-systems.com/ ****************** You are receiving this email per your request to stay informed on CART and MARS. It was intended for the email address: [EMAIL PROTECTED] If you are no longer interested in receiving such e-mails from us, or have received this email in error, please reply with the word "REMOVE" in the SUBJECT heading; your name will be removed within 24 hours of receipt. Thank you for your assistance. ================================================================= Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =================================================================
