BBG 101 Lecture Notes - Lecture 23: Online Analytical Processing, Text Mining, Future Systems

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Decision trees better tree growing software was introduced. These technologies are conceptually simple and have gained in popularity as. Because of the way they are used, they are perhaps better called classification . Decision trees are beneficial in a number of ways: trees. Forces you to formally identify the actual decisions to be made. It is difficult to overlook an integral step in the decision process. Forces you to consider the sequence of decisions. A decision tree for a complex system with many sequences and combinations of conditions will be unwieldy. A large number of branches with many paths will cloud" the situation rather than make it clear. The analyst may not be able to determine which business policy or practice guides the formulation of specific decisions. Where these problems arise, decision tables provide a better alternative. As the technology matures, new applications emerge, especially in two new. Some text mining examples are: categories, text mining and web mining.

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