跳至主導覽
跳至搜尋
跳過主要內容
國立中央大學 首頁
說明與常見問題
English
中文
首頁
人才檔案
研究單位
研究成果
資料集
榮譽/獲獎
學術活動
新聞/媒體
影響
按專業知識、姓名或所屬機構搜尋
Combining data discretization and missing value imputation for incomplete medical datasets
Min Wei Huang,
Chih Fong Tsai
, Shu Ching Tsui, Wei Chao Lin
資訊管理學系
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
2
引文 斯高帕斯(Scopus)
總覽
指紋
指紋
深入研究「Combining data discretization and missing value imputation for incomplete medical datasets」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Data Combination
100%
Missing Value Imputation
100%
Medical Dataset
100%
Data Discretization
100%
Missing Data
100%
Problem Domain
66%
Support Vector Machine
66%
K-nearest
66%
Medical Domain
66%
ChiMerge
66%
Continuous Features
66%
Data Mining Techniques
33%
Decision Tree
33%
Discrete Features
33%
Classification Accuracy
33%
High Classification Accuracy
33%
Incomplete Data
33%
Imputation Methods
33%
Classification and Regression Tree
33%
Knowledge Discovery
33%
Information Representation
33%
Discretization Process
33%
Feature Value
33%
C4.5
33%
Knowledge Data
33%
Minimum Description Length Principle
33%
Mode Classification
33%
Mode Regression
33%
Computer Science
Data Discretization
100%
Discretization
100%
Support Vector Machine
50%
Medical Domain
50%
Experimental Result
25%
Classification Accuracy
25%
Regression Tree
25%
Knowledge Discovery
25%
Data Mining Algorithm
25%
Neighbor Method
25%
Minimum Description Length
25%
Decision Tree
25%
Mathematics
Missing Value
100%
Discretization
100%
Problem Domain
33%
Support Vector Machine
33%
Decision Tree
16%
Nearest Neighbor
16%
Imputation Method
16%
Regression tree
16%
Data Mining Algorithm
16%
Feature Value
16%
Nearest Neighbor Method
16%
Data Mining
16%
Engineering
Discretization
100%
Medical Domain
33%
Support Vector Machine
33%
Nearest Neighbor
33%
Experimental Result
16%
Classification Accuracy
16%