RainForest Algorithm / Framework – (Data Mining)
RainForest is framework specially designed to classify the large data set.
RainForest contains AVC set.
AVC set consist of the following parts;
- Attribute
- Value
- Class_Label
Example:
| Income | Rank | Buy_Mobile |
| 75,000 | Professor | yes |
| 75,000 | Professor | yes |
| 50,000 | Lecturer | no |
After applying the AVC set table looks like;
[quads id=1]
| Income | Buy_Mobile | |
| Yes | No | |
| 75,000 | 2 | 0 |
| 50,000 | 0 | 1 |
| Rank | Buy_Mobile | |
| Yes | No | |
| Professor | 2 | 0 |
| Lecturer | 0 | 1 |
AVC sets can be built according to the amount of main memory available. This can be described in the following three cases;
- The AVC-set of the root node fits in main memory.
2. Each individual AVC-set of the root node fits in main memory, but the AVC-group of the root node does not fit in main memory. 
3. None of the individual AVC-sets of the root fit in main memory.