Predictive Hybridization Model integrating Modified Genetic Algorithm (MGA) and C4. 5
JCM Bustillo, RP Medina, AM Sison… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Numerous enhancements of prediction models through hybridization and combining various
machine learning to increase the prediction model's performance are still an ongoing …
machine learning to increase the prediction model's performance are still an ongoing …
The classification status of river water quality in riau province using modified K-nearest neighbor algorithm with STORET modeling and water pollution index
D Ramadhani, M Afdal… - Journal of Physics …, 2021 - iopscience.iop.org
Abstract The Department of Environment and Forestry, Pollution and Environmental
Damage Control Division, has an active role in monitoring water quality in Riau Province …
Damage Control Division, has an active role in monitoring water quality in Riau Province …
C4. 5, K-Nearest Neighbor, Naïve Bayes, and Random Forest Algorithms Comparison to Predict Students' on TIME Graduation
Study program performance can be seen from the achievement of accreditation status,
where one of the assessment instruments related to the graduate profile is the length of …
where one of the assessment instruments related to the graduate profile is the length of …
[PDF][PDF] Application of Time Series Analysis in Projecting Philippines' Electric Consumption
AJP Delima - International Journal of Machine Learning and …, 2019 - researchgate.net
This paper employed the famous ARIMA (p, d, q) model in forecasting Philippines' electric
consumption for the years 2018 to 2022 using the univariate historical data of the country's …
consumption for the years 2018 to 2022 using the univariate historical data of the country's …
[PDF][PDF] An experimental comparison of hybrid modified genetic algorithm-based prediction models
AJP Delima - Int. J. Recent Technol. Eng, 2019 - academia.edu
The quest for an optimal prediction model is still a hot topic in the field of data mining and
machine learning. An optimal model is achieved when the algorithm used posses the …
machine learning. An optimal model is achieved when the algorithm used posses the …
[PDF][PDF] Factor affecting elderly consumer buying attitude on Thailand OTOP product
S Phanphet, N Sukprasert, R Suttipong… - International Journal of …, 2019 - academia.edu
One Tambon One Product (OTOP) is a local entrepreneurship stimulus program designed
by Thailand and has been initiated since 2001. This OTOP program aims to support locally …
by Thailand and has been initiated since 2001. This OTOP program aims to support locally …
[PDF][PDF] Forecasting Salaries and Wages using Auto Regressive Integrated Moving Average (ARIMA) Algorithm
TL Toledo - ijcesr.com
This paper employed the famous ARIMA (p, d, q) model to forecast the operating cost
accounts of selected mining company in Mindanao, Philippines. The operating cost includes …
accounts of selected mining company in Mindanao, Philippines. The operating cost includes …
[PDF][PDF] Auto Regressive Integrated Moving Average (ARIMA) Algorithm Application for Mining Operating Cost Forecasting
TL Toledo - ijcesr.com
This paper employed the famous ARIMA (p, d, q) model to forecast the operating cost
accounts of selected mining company in Mindanao, Philippines. The operating cost includes …
accounts of selected mining company in Mindanao, Philippines. The operating cost includes …