Carry Out Data Mining and Machine Learning with WEKA zite.to/OUhX1D
How PayPal Makes Merchants Smarter through Data Mining zite.to/1kdtCDq
Predicting Dropout Student: An Application of Data Mining Methods in an Online Education Program zite.to/1d4t0yb
33 Top Free Data Mining Software zite.to/LxXYVc
Five Data Mining Techniques That Help Create Business Value zite.to/JG4hER
New Book: RapidMiner: Data Mining Use Cases and Business Analytics Applications zite.to/19gzRTm
RapidMiner 6 adds application wizards, better visualization, ease of use zite.to/19MbgkQ
One of the challenges when analyzing data is having to move it from place to place. A common method for analysis would be to extract data from a data warehouse to then analyze it on a local pc/laptop. Then once the analysis or model build is complete the logic then needs to be transferred back to the data warehouse so it can be put in production. This process can be slow and error-prone.
MADlib is an opensource library of analytic and machine learning functions that can run in-database. By installing them on your database, you won’t need to move the data anymore. Instead, you can move your logic to the data.
Here is How-to: Use MADlib Pre-built Analytic Functions with Impala – check out this post from Cloudera.
Semi-automatic method for grading a million homework assignments zite.to/GHISdf
Top 10 algorithms in data mining zite.to/17pxeNw