Category Archive ‘data mining‘

 
 

Run data mining codes following William Potts

FYI: SAS Enterprise Miner and SAS Text Miner Procedures: Reference for SAS 9.1.3, see:
 
 
This entry DOES exist in the SAS Support website, but it can’t be found by any search engine or documentation tree view. You’re recommended to download these files immediately due to SAS’s easy-dead hyperlinks.^-^
 
ps.SAS Institute provides no support for the use of Enterprise Miner and Text Miner Procedures when they are invoked directly, outside of the Enterprise Miner graphical user interface.

Free Machine Learning Courses (Stanford) in YouTube

FYI:
 

SAS User Books and Data Mining Software Comparision: Quick Links

  1. SAS Books Catalog(Jan, 2009)
  2. Data Mining Software 2009: Succesul Analyses at Affordable Prices(Nov. 2008, by mayato)

Industry Review: SAS and Teradata Partnership

SAS and Teradata Partnership: Press

  1. Leading Companies See Value in SAS and Teradata Partnership
  2. SAS and Teradata Unveil Advantage Program to Bring Powerful In-Database Solutions and Services to Customers
  3. SAS and Teradata Enter into Strategic Partnership


In BI industry, the pure players such as SAS, Teradata and Microstrategy, need to demonstrate their indispensable values against the megavendors, IBM (acquired Cognos), SAP (acquired Business Object), Oracle (acquired Hyperion) and Microsoft. Teradata is solely focused on enterprise data warehouse. SAS, dominating in business analytics (e.g. advanced statistics and data mining), will check and balance the BI industry due to the private-hold structure. SAS and Teradata Advantage Program partnership, includes wide business lines, such as Analytics, AML (Anti-Money Laundering), Credit Risk, Enterprise Intelligence and Optimization Services. I think It’s a effective way to learn from each other in mutual emulation and counterbalance the concentration market.

Data Mining in Stock Market

Data Mining in Stock Market? Is it crazy? or is it just a hopeless try? Every mentor in mathematics and finance educates us that the stock market is too chaotic and sentimental to use mathematical models. Most of all gift rock scientists are concentrated in the study of interest of rates and fixed income securities. It sounds profitable to use mathematical and statistical models to predict the price of stock, but there are little successfull stories.

I know I might hold some academic doctrines, so I have interest to monitor any effort to try to forecast stock prices using data mining techniques. Some links from a popular data mining blog , Data Mining Research, are listed as follows: