Neural-Based Approaches for Improving the Accuracy of Decision Trees

碩士 === 銘傳大學 === 資訊管理學系碩士在職專班 === 90 === As we know, the decision tree learning algorithms, e.g., See5, are good at dataset classification. But those algorithms usually work with only one attribute at a time. The dependencies among attributes are not considered in those algorithms. Unfortunately,...

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Bibliographic Details
Main Authors: Cheng-Wei Fang, 方振維
Other Authors: Yue-Shi Lee
Format: Others
Language:en_US
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/67307224998619485156