Extracting Rule RF in Educational Data Classification: From a Random Forest to Interpretable Refined Rules

2015 International Conference on Advanced Computing and Applications (ACOMP) ◽

10.1109/acomp.2015.13 ◽

2015 ◽

Cited By ~ 3

Author(s):

Kim Phung Lu Thi ◽

Ngoc Chau Vo Thi ◽

Nguyen Hua Phung

Keyword(s):

Random Forest ◽

Data Classification

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Enhancement of Data Classification Accuracy using Bagging Technique in Random Forest

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i8.185188 ◽

2019 ◽

Vol 7 (8) ◽

pp. 185-188

Author(s):

Vikas S. ◽

Thimmaraju S.N.

Keyword(s):

Random Forest ◽

Classification Accuracy ◽

Data Classification

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A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach

2020 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci47803.2020.9308198 ◽

2020 ◽

Author(s):

Caio Ribeiro ◽

Alex Freitas

Keyword(s):

Random Forest ◽

Longitudinal Data ◽

Data Classification ◽

Random Forest Method

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Research of Medical High-Dimensional Imbalanced Data Classification Ensemble Feature Selection Algorithm with Random Forest

2017 International Conference on Smart Grid and Electrical Automation (ICSGEA) ◽

10.1109/icsgea.2017.158 ◽

2017 ◽

Cited By ~ 2

Author(s):

Min Zhu ◽

Bo Su ◽

Gangmin Ning

Keyword(s):

Feature Selection ◽

Random Forest ◽

Imbalanced Data ◽

Data Classification ◽

High Dimensional ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Imbalanced Data Classification

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Random forest for gene selection and microarray data classification

Bioinformation ◽

10.6026/97320630007142 ◽

2011 ◽

Vol 7 (3) ◽

pp. 142-146 ◽

Cited By ~ 27

Author(s):

Kohbalan Moorthy ◽

Mohd Saberi Mohamad

Keyword(s):

Random Forest ◽

Microarray Data ◽

Gene Selection ◽

Data Classification

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An efficient use of random forest technique for SAR data classification

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2015.7326520 ◽

2015 ◽

Cited By ~ 2

Author(s):

Shruti Gupta ◽

Dharmendra Singh ◽

K P Singh ◽

Sandeep Kumar

Keyword(s):

Random Forest ◽

Data Classification ◽

Sar Data

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RRF-BD: Ranger Random Forest Algorithm for Big Data Classification

Advances in Intelligent Systems and Computing - Computational Intelligence in Data Mining ◽

10.1007/978-981-13-8676-3_2 ◽

2019 ◽

pp. 15-25

Author(s):

G. Madhukar Rao ◽

Dharavath Ramesh ◽

Abhishek Kumar

Keyword(s):

Big Data ◽

Random Forest ◽

Data Classification ◽

Random Forest Algorithm ◽

Big Data Classification

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Quad-PolSAR data classification using modified random forest algorithms to map halophytic plants in arid areas

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2018.06.006 ◽

2018 ◽

Vol 73 ◽

pp. 503-521 ◽

Cited By ~ 3

Author(s):

Alim Samat ◽

Paolo Gamba ◽

Sicong Liu ◽

Zelang Miao ◽

Erzhu Li ◽

...

Keyword(s):

Random Forest ◽

Data Classification ◽

Arid Areas ◽

Halophytic Plants

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Comparison of random forest, support vector machine and back propagation neural network for electronic tongue data classification: Application to the recognition of orange beverage and Chinese vinegar

Sensors and Actuators B Chemical ◽

10.1016/j.snb.2012.11.071 ◽

2013 ◽

Vol 177 ◽

pp. 970-980 ◽

Cited By ~ 151

Author(s):

Miao Liu ◽

Mingjun Wang ◽

Jun Wang ◽

Duo Li

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Random Forest ◽

Back Propagation ◽

Electronic Tongue ◽

Data Classification ◽

Back Propagation Neural Network ◽

Support Vector ◽

Chinese Vinegar

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Ovarian cancer data classification using bagging and random forest

10.1063/1.5132473 ◽

2019 ◽

Cited By ~ 1

Author(s):

A. Arfiani ◽

Z. Rustam

Keyword(s):

Ovarian Cancer ◽

Random Forest ◽

Data Classification ◽

Cancer Data ◽

Ovarian Cancer Data

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Imbalanced educational data classification: An effective approach with resampling and random forest

The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF) ◽

10.1109/rivf.2013.6719882 ◽

2013 ◽

Author(s):

Vo Thi Ngoc Chau ◽

Nguyen Hua Phung

Keyword(s):

Random Forest ◽

Data Classification

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