Parallel Decision Tree Construction Using Attribute-Key Classification
碩士 === 國立中央大學 === 資訊工程學系 === 101 === In machine learning, a classifier is able to associate new observed instances to a set of categories, on the basis of a training set of data containing instances whose category membership is known. Decision-tree-based algorithms are popular classifiers in many ap...
Main Authors: | Shiau-Rung Tsui, 崔孝戎 |
---|---|
Other Authors: | Wei-Jen Wang |
Format: | Others |
Language: | zh-TW |
Published: |
2013
|
Online Access: | http://ndltd.ncl.edu.tw/handle/98739019787232838356 |
Similar Items
-
The Classification of Continuous Attributes in Decision Tree Learning
by: Chu ,May Jane, et al.
Published: (1996) -
A Heuristic Partition Method of Numerical Attributes in Classification Tree Construction
by: Wen-Ke Tseng, et al.
Published: (2004) -
Using Decision Tree to Construct the Classification Model of Car Consumer Purchasing Intention
by: Mei-Yun Chen, et al.
Published: (2015) -
Decision Tree Creation Methodology Using Propositionalized Attributes
by: Grabusts Pēteris, et al.
Published: (2016-12-01) -
Finding multi-interval classification rules on continuous-valued attributes, a decision tree approach.
by: Po-Chang, Huang, et al.
Published: (2004)