I used a tutorial from MSDN (http://msdn.microsoft.com/en-us/library/bb510523.aspx) for some pica's. I created a datamining project and used the decision tree algoritm. I created the following decision tree:
The tutorial is about the adventureworks database and datamining is created to understand what kind of customers buys bicycles. The business value is to direct new market campaigns when you know more about your customers. You don't want to send offers to the wrong customer. Other examples are for example: what are common (root) causes of network problems, analyzing servicedesk incidents/changes , productionplanning problems. You can use it for every investigation in cause and effects between attributes.
The decisiontree algoritm has the following advantages:
- Good visual presentation.
- Rules are understandable.
- It shows what is important.