A Multi-Valued and Sequential Patterns Decision Tree Classifier for Data Mining

碩士 === 銘傳大學 === 資訊管理學系碩士班 === 98 === Most of the decision tree classifiers require that attributes and temporal label of data set to be single-valued and non-sequential. However, there exist classification problems with multi-valued and sequential patterns data. Although some algorithms can hand...

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Bibliographic Details
Main Authors: Bo-Jr Hsu, 許博智
Other Authors: Chang-Ling Hsu
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/01654376819866143944