The statistic classification method of a deep hierarchical data

Hong Qi Han; Xue Feng Wang; Jia Liu

The statistic classification method of a deep hierarchical data

Hong Qi Han^*, Xue Feng Wang, Jia Liu

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

Tree structure data exists commonly in the world. In practical application, the node objects are usually classified according to its statistical indices. It is a difficult and complex problem when the hierarchy is very deep and the quantity of son nodes of each node is unknown. The description of an actual problem was presented, a method and an algorithm were brought forward after analysis.

Original language	English
Pages (from-to)	89-92
Number of pages	4
Journal	Binggong Xuebao/Acta Armamentarii
Volume	29
Issue number	SUPPL.
Publication status	Published - Nov 2008

Keywords

Classification
Computer application
Hierarchical data
Statistics
Tree structure data

Cite this

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title = "The statistic classification method of a deep hierarchical data",

abstract = "Tree structure data exists commonly in the world. In practical application, the node objects are usually classified according to its statistical indices. It is a difficult and complex problem when the hierarchy is very deep and the quantity of son nodes of each node is unknown. The description of an actual problem was presented, a method and an algorithm were brought forward after analysis.",

keywords = "Classification, Computer application, Hierarchical data, Statistics, Tree structure data",

author = "Han, {Hong Qi} and Wang, {Xue Feng} and Jia Liu",

year = "2008",

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T1 - The statistic classification method of a deep hierarchical data

AU - Han, Hong Qi

AU - Wang, Xue Feng

AU - Liu, Jia

PY - 2008/11

Y1 - 2008/11

N2 - Tree structure data exists commonly in the world. In practical application, the node objects are usually classified according to its statistical indices. It is a difficult and complex problem when the hierarchy is very deep and the quantity of son nodes of each node is unknown. The description of an actual problem was presented, a method and an algorithm were brought forward after analysis.

AB - Tree structure data exists commonly in the world. In practical application, the node objects are usually classified according to its statistical indices. It is a difficult and complex problem when the hierarchy is very deep and the quantity of son nodes of each node is unknown. The description of an actual problem was presented, a method and an algorithm were brought forward after analysis.

KW - Classification

KW - Computer application

KW - Hierarchical data

KW - Statistics

KW - Tree structure data

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M3 - Article

AN - SCOPUS:58149202255

SN - 1000-1093

VL - 29

SP - 89

EP - 92

JO - Binggong Xuebao/Acta Armamentarii

JF - Binggong Xuebao/Acta Armamentarii

IS - SUPPL.

ER -

The statistic classification method of a deep hierarchical data

Abstract

Keywords

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