A Set is a Knowledge Base interpretation which is a case-specific collection of attributes. That is, attributes are included or excluded from the Set according to the rules that you have built.
A Set interpretation is similar to a set attribute except that rules are used rather than conditions to determine whether an attribute is a member of the Set. Furthermore, a Set interpretation is more flexible than a set attribute as it allows you to include set or group attributes, rather than just primary attributes.
A Set interpretation provides an easy way for you to specify the content of data mining reports using the Report Definitions facility. An example of two Set interpretations are shown below:
The following operations are available from the Set view:
- Adding a Set
- Renaming a Set
- Deleting a Set – note that this operation has to be used with care as it will remove any rules used to define that Set.
- Adding attributes to a Set using rules
- Removing attributes from a Set
- Replacing an attribute from a Set with another attribute
- Searching for cases containing the selected Set
What kind of attributes can I include in a Set interpretation?
You can include the following types of attribute:
See also: RippleDown LabQ as a data mining tool.