英文翻译 急~~~在线等One of the data mining algorithm decision trees

英文翻译 急~~~在线等
One of the data mining algorithm decision trees are used in profiling as a predictive model that, as its name implies, can be viewed as a tree. Specifically each branch of the tree is a classification question and the leaves of the tree are partitions of the dataset with their classification (Berson et. al., 2000). From a business perspective decision trees can be viewed as creating a segmentation of the original dataset (each segment would be one of the leaves of the tree). Segmentation of customers, products, and sales regions is something that marketing managers have been doing for many years. In the past this segmentation has been performed in order to get a high level view of a large amount of data - with no particular reason for creating the segmentation except that the records within each segmentation was somewhat similar to each other. In this case the segmentation is done for a particular reason - namely for the prediction of some important piece of information. The records that fall within each segment fall there because they have similarity with respect to the information being predicted - not just that they are similar - without similarity being well defined. These predictive segments that are derived from the decision tree also come with a description of the characteristics that define the predictive segment. Thus the decision trees and the algorithms that create them may be complex; the results can be presented in an easy to understand way that can be quite useful to the business user. Decision tree algorithms were suitable for profiling because they are visual and easy-to-understand, easily interpretable, and they allow establishment of rules. With the series of rules obtained from decision trees would be possible to create profiles of firms and then classify firms in terms of levels of financial distress by using such profiles. For each profile the most important financial distress signals as an early warning, which affected the financial position.