Develop a simple table of examples in some domain, such as classifying animals by species, and trace the construction of a decision tree by the ID3 algorithm.

Give an explanation of the two most important advantages of using a binary search tree (referenced based approach).

A spanning tree and an MST are two distinct types of trees, but what is the difference between the two? Is this how Prim and Kruskal's algorithms are reviewed and compared?

Please, use Java and write a clear answer to your own work and I'll rate up. Thank you :)

Im relooking at the problem rn, im starting to think that maybe it should be preorder instead of post order. How would the coding implemention change?

What would be the appropriate kind of tree traversal to use? You're writing an analysis tool for a hierarchical organization, in which there is one person fundamentally in charge, to whom some number of people report, to each of whom some number of people report, and so on. There is a ranking in the organization, so the person in charge has rank 1, the people who report to that person have the rank 2, the people who report to the rank-2 people have the rank 3, and so on. Your input is this kind of organizational hierarchy. Your desired output is to be able to find the highest-ranking person (i.e., the person with the minimum rank number) who meets some characteristic (such as the highest-ranking person under 30 years old). Your input is a binary tree that is an expression tree, in which each non-leaf node contains a binary mathematical operator (such as +, −, ×, or ÷) and each leaf node contains a numeric value (such as 2 or 9.5). Your desired output is the value of the expression…