RainForest Algorithm / Framework – (Data Mining)

By: Prof. Dr. Fazal Rehman | Last updated: March 3, 2022

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;

1. Attribute
2. Value
3. Class_Label

Example: After applying the AVC set table looks like; [quads id=1]     AVC sets can be built according to the amount of main memory available. This can be described in the following three cases;

1. 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 the main memory.

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