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Results 1-7 of 7 (Search time: 0.0 seconds).
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Issue Date
Title
Author(s)
2020-07-10
A Comparison of Forecasting Techniques Efficiency for Financial Stress Data using Data Mining Techniques
Kaewwichit, Pichet
;
Kawila, Udomsak
;
Lukkananuruk, Nitima
;
Hengpraphorm, Kairung
;
Hengpraphorm, Supojn
2020-07-09
A Comparison of Forecasting Techniques Efficiency for Financial Stress Data using Data Mining Techniques
Kaewwichit, Pichet
;
Kawila, Udomsak
;
Lukkananuruk, Nitima
;
Hengpraphorm, Kairung
;
Hengpraphorm, Supojn
2020-07-09
A Comparison of Forecasting Techniques Efficiency for Financial Stress Data using Data Mining Techniques
Kaewwichit, Pichet
;
Kawila, Udomsak
;
Lukkananuruk, Nitima
;
Hengpraphorm, Kairung
;
Hengpraphorm, Supojn
;
พิเชฐ แก้วิชิต
;
อุดมศักดิ์ กาวิละ
;
นิติมา ลักขณานุรักษ์
;
ไก้รุ่ง เฮงพระพรหม
;
สุพจน์ เฮงพระพรหม
2021-07-08
Birth rate prediction Of Burmese fighting cock with Neural Network
Yooprom, Prapol
;
Chuahong, Sarawut
;
Chainok, Piyamas
;
Chainok, Bopit
2022-07-08
A Comparison of Normalization Data Transformation Efficiency Affecting with Bank Customer Credit Data Classification using Data Mining Techniques
Suksamai, Chutima
;
Hengpraprohm, Kairung
;
Silachan, Klaokanlaya
2022-07-08
A Comparison efficiency of classification of diabetic patients using data transformation techniques for data mining techniques
Kakandee, Athitaya
;
Hengpraprohm, Kairung
;
Silachan, Klaokanlaya
2023-07-14
The Efficiency Comparison of Data Classification Ensemble Techniques for Breast Cancer Patients Dataset
Limkulakhom, Tada
;
Hengpraprohm, Kairung
;
Hengpraprohm, Supojn
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Author
3
Hengpraphorm, Kairung
3
Hengpraphorm, Supojn
3
Hengpraprohm, Kairung
3
Kaewwichit, Pichet
3
Kawila, Udomsak
3
Lukkananuruk, Nitima
2
Silachan, Klaokanlaya
1
Chainok, Bopit
1
Chainok, Piyamas
1
Chuahong, Sarawut
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Subject
4
Support Vector Machine
3
Linear Regression
2
Classification
2
Decision Tree
2
K-nearest neighbor
2
Transformation
1
Arduino
1
Bagging
1
Burmese fighting cock
1
Decision tree
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Date issued
3
2020
2
2022
1
2021
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2023
Has File(s)
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true