Current Slide
Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.
Associative Classification
- Associative classification: Major steps
- Mine data to find strong associations between frequent patterns (conjunctions of attribute-value pairs) and class labels
- Association rules are generated in the form of
- P1 ^ p2 … ^ pl →“Aclass = C” (conf, sup)
- Organize the rules to form a rule-based classifier
- Why effective?
- It explores highly confident associations among multiple attributes and may overcome some constraints introduced by decision-tree induction, which considers only one attribute at a time
- Associative classification has been found to be often more accurate than some traditional classification methods, such as C4.5
Speaker notes:
Content Tools
Tools
Sources (0)
Tags (0)
Comments (0)
History
Usage
Questions (0)
Playlists (0)
Quality
Sources
There are currently no sources for this slide.