scholarly journals Application of Decision Tree Algorithm Based on Clustering and Entropy Method Level Division for Regional Economic Index Selection

2020 ◽  
pp. 45-56
Author(s):  
Yi Zhang ◽  
Gang Yang
Keyword(s):  
Decision Tree ◽  
Entropy Method ◽  
Economic Index ◽  
Index Selection ◽  
Decision Tree Algorithm ◽  
Regional Economic ◽  
Tree Algorithm

Visual Outcome and Development of a Decision Tree Algorithm for Predicting Systemic Diseases Associated with Uveitis

2018 ◽  
Author(s):  
Peizeng Yang ◽  
Zhenyu Zhong ◽  
Liping Du ◽  
Fuzhen Li ◽  
Hong Li ◽  
...  
Keyword(s):  
Decision Tree ◽  
Visual Outcome ◽  
Systemic Diseases ◽  
Decision Tree Algorithm ◽  
Tree Algorithm

scholarly journals Corrigendum to “Pediatric SMA patients with complex spinal anatomy: Implementation and evaluation of a decision-tree algorithm for administration of nusinersen”

2021 ◽  
Author(s):  
Laura Carrera-García ◽  
Jordi Muchart ◽  
Juan José Lazaro ◽  
Jessica Expósito-Escudero ◽  
Daniel Cuadras ◽  
...  
Keyword(s):  
Decision Tree ◽  
Decision Tree Algorithm ◽  
Tree Algorithm

scholarly journals Clasiffication of Heart Disease using Decision Tree Algorithm

2020 ◽  
Vol 1003 ◽  
pp. 012119
Author(s):  
A Ishak ◽  
A Ginting ◽  
K Siregar ◽  
C Junika
Keyword(s):  
Heart Disease ◽  
Decision Tree ◽  
Decision Tree Algorithm ◽  
Tree Algorithm

scholarly journals Classification of diabetes disease using decision tree algorithm (C4.5)

2021 ◽  
Vol 1869 (1) ◽  
pp. 012082
Author(s):  
B A C Permana ◽  
R Ahmad ◽  
H Bahtiar ◽  
A Sudianto ◽  
I Gunawan
Keyword(s):  
Decision Tree ◽  
Decision Tree Algorithm ◽  
Tree Algorithm

An Analysis of Factors Influencing Foreign Language Self-Efficacy Based on C5.0 Decision Tree Algorithm in Data Mining

2014 ◽  
Vol 538 ◽  
pp. 460-464
Author(s):  
Xue Li
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Foreign Language ◽  
Language Learning ◽  
Learning Strategies ◽  
Self Efficacy ◽  
Foreign Language Learning ◽  
Decision Tree Algorithm ◽  
Tree Algorithm ◽  
C5.0 Decision Tree

Based on inter-correlation and permeability among disciplines, the author makes an attempt to apply the information science to cognitive linguistics to provide a new perspective for the study of foreign languages. The correlation between self-efficacy and such four factors as anxiety, learning strategies, motivation and learners’ past achievement is analyzed by means of data mining and the extent to which the above factors affect self-efficacy in language learning is explored in this paper. The paper employs the decision tree algorithm in SPSS Clementine. C5.0 decision tree algorithm is adopted to analyze data in the study. The results are elicited from the researches carried out in this paper. The increased anxiety is bound to weaken learners’ motivation over time. It is obvious that learners have low self-efficacy. It is very important to employ strategies in foreign language learning. Ignorance of using learning strategies may result in unplanned learning with unsatisfactory achievements in spite of more efforts involved. Self-efficacy in foreign language learning may be weakened accordingly. Learners’ past achievement is a reference dimension in measuring self-efficacy with weaker influence.

Research on Asset Recognition Algorithm of Information Security Product Based on Decision Tree Algorithm

2013 ◽  
Vol 397-400 ◽  
pp. 2296-2300 ◽  
Author(s):  
Fei Shuai ◽  
Jun Quan Li
Keyword(s):  
Computational Complexity ◽  
Information Security ◽  
Decision Tree ◽  
Recognition Algorithm ◽  
Space Complexity ◽  
Complex Relationship ◽  
Decision Tree Algorithm ◽  
Tree Algorithm ◽  
C4.5 Algorithm ◽  
C4.5 Decision Tree

In current, there are complex relationship between the assets of information security product. According to this characteristic, we propose a new asset recognition algorithm (ART) on the improvement of the C4.5 decision tree algorithm, and analyze the computational complexity and space complexity of the proposed algorithm. Finally, we demonstrate that our algorithm is more precise than C4.5 algorithm in asset recognition by an application example whose result verifies the availability of our algorithm.Keywordsdecision tree, information security product, asset recognition, C4.5

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