Grinding Wheel Element Determination Support System by Random Forest Method

Dogan A., Birant D., Machine learning and data mining in manufacturing, Expert Systems with Applications, 166, (2021)

Fayyad U., Piatetsky-Shapiro G., Smyth P., From Data Mining to Knowledge Discovery in Databases, AI Magazine, 17, 3, (1996)

Adachi T., Talavage J.J., Modie C.L., A rule based control method for a multi loop production system, Artificial Intelligence in Engineering, 4, 3, (1989)

Tomlinson S., Novel Approaches to the calculation and comparison of thermoregulatory parameters, J. Thermal Biology, 57, (2016)

Jothi N., Rashid N., Husain W., Data Mining in Healthcare―A Review, Procedia Computer Science, 72, (2015)

Kodama H., Uotani I., Ohashi K., Decision support system for principal factors of grinding wheel using data mining methodology, Int. J. Abrasive Technology, 9, 2, (2019)

Kodama H., Mendori T., Ohashi K., Investigation of principal factor decision support system using data mining methodology for surface grinding wheel, Int. J. Abrasive Technology, 9, 4, (2019)

Opitz D., Maclin R., Popular Ensemble Methods: An Empirical Study, J. Artificial Intelligence Research, 11, (1999)

Breiman L., Random Forests, Machine learning, 45, 1, (2001)

Rodiguez G.G., Gonzalez-Cava J.M., Perez J.A.M., An intelligent decision support system for production planning based on machine learning, Journal of Intelligent Manufacturing, 31, (2020)

Dogan A., Birant D., Machine learning and data mining in manufacturing, Expert Systems with Applications, 166, (2021)

Fayyad U., Piatetsky-Shapiro G., Smyth P., From Data Mining to Knowledge Discovery in Databases, AI Magazine, 17, 3, (1996)

Adachi T., Talavage J.J., Modie C.L., A rule based control method for a multi loop production system, Artificial Intelligence in Engineering, 4, 3, (1989)

Tomlinson S., Novel Approaches to the calculation and comparison of thermoregulatory parameters, J. Thermal Biology, 57, (2016)

Jothi N., Rashid N., Husain W., Data Mining in Healthcare―A Review, Procedia Computer Science, 72, (2015)

Kodama H., Uotani I., Ohashi K., Decision support system for principal factors of grinding wheel using data mining methodology, Int. J. Abrasive Technology, 9, 2, (2019)

Kodama H., Mendori T., Ohashi K., Investigation of principal factor decision support system using data mining methodology for surface grinding wheel, Int. J. Abrasive Technology, 9, 4, (2019)

Opitz D., Maclin R., Popular Ensemble Methods: An Empirical Study, J. Artificial Intelligence Research, 11, (1999)

Breiman L., Random Forests, Machine learning, 45, 1, (2001)

Rodiguez G.G., Gonzalez-Cava J.M., Perez J.A.M., An intelligent decision support system for production planning based on machine learning, Journal of Intelligent Manufacturing, 31, (2020)