decision tree

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decision tree

[di′sizh·ən ‚trē]
(industrial engineering)
Graphic display of the underlying decision process involved in the introduction of a new product by a manufacturer.

decision tree

A graphical representation of all alternatives in a decision making process.
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For better understanding of the specified objectives, we presented the need and difficulty of finding the protein coding regions in Section I, in the Section II we introduced the concept of induction of decision trees, in the section III new trust-region method was discussed, Section IV covers the parallel scan algorithm and section V discusses protein folding algorithm and Section VI gives details regarding data and method and section VII was the strength of the paper which discusses briefly on the experimental results.
Key words: regression analysis, banks' profitability, forecasting, regression analysis, decision trees
From decision trees, graduate student Tao Shi of the Department of Human Genetics at the University of California, Los Angeles, took the audience into the woods as he described the use of "random forest" predictors to derive information from microarray data.
Stakeholder pensions, which have charges capped at one per cent, are designed to be sold without the need for advice, and are accompanied by decision trees to help consumers assess whether they are suitable for them.
Decision trees must be trained and tested before deployment, preprocessing input data can speed tree growth, training and evaluation.
Data mining algorithms, such as clustering and decision trees have been used in the design of numerous products.
Quinlan [8] summarizes an approach to synthesizing decision trees that have been used in a variety of systems, and it describes one such system, ID3 in detail.
Classification models can be expressed in various forms, such as classification (IF-THEN) rules, decision trees, mathematical formulas or neural networks.
For the next stage, these selected features can be applied to decision trees algorithm for the CUs with different size.
For this purpose, different techniques of artificial intelligence are adressed, such as decision trees, bayesian networks, among others.