Archive
Data Mining, Introduction of Beverage Manufacturing Data – Session 23
This session introduces a data set that will be used to explore the use of data mining tool for the regression problem. The data, beverage manufacturing, has a continuous target variable. The goal of the data mining project is to determine what variables are good predictors of this continuous variable and to train data mining models to predict it. This session reviews the data mining project goals, reviews the data using basic statistics and graphs, and selects appropriate variables. http://statsoft.com/products/data-mining-solutions/
Duration : 0:9:58
Chris Hote of Digimind – The Intelligence Collaborative Washington, DC 10/22/09
Chris Hote of Digimind explains his company’s web tracking and visualization software.
Duration : 0:1:38
Manage the Data Deluge with Data Mining and Predictive Analytics
Learn how data mining can be applied to identify trends, patterns and relationships while predictive analytics can be used to predict future outcomes.
To learn more about data mining and predictive analytics, visit http://www.sas.com/technologies/analytics/datamining/index.html .
Duration : 0:2:28
Data Mining, C&RT for Regression – Session 24
Previously in the series, C&RT and other tree algorithms were discussed for the classification problem. This session uses the regression data, beverage manufacturing, to explore C&RT as well as the other tree algorithms. The options and parameters are reviewed as well as important output. An example analysis is performed in STATISTICA using C&RT. Then the Data Mining Workspace is used to very briefly show the remaining tree tools offered, CHAID, Boosted Trees and Random Forests. http://statsoft.com/products/data-mining-solutions/
Duration : 0:9:3
Take a CSV file and perform basic BI and reporting using a free tool.











