A Storage Optimization Model for Cloud Servers in Integrated Communication, Sensing, and Computation System

Algorithm 1

Generate_decision_tree.

Input: The calibrated training set:

    List of Properties: attribute_list

    Delineation of attribute selection methods: Attribute_selection_method

Output: Decision tree

Method:

1. Node = new Node();

2. if tuples in are all of the same class C:

3.  N.isLeaf = true; N.label = C

4.  return

5. if attribute_list is empty:

6.  N.isLeaf = true; N.label = majority class in

7.  return

8. splitting_criterion = Attribute_selection_method(, attribute_list)

9. label as splitting_criterion

10.   foreach outcome j of splitting_criterion

11.    = {data tuples in satisfying outcome j}

12.    if is empty

13.     attach a leaf labeled with the majority class in to

14.    else

15.     attach the node returned by Generate_decision_tree()

16.   return