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Search: "[ keyword: Gradient Boosting ]" (3)
    Comparison of Machine Learning-Based Greenhouse VPD Prediction Models
    Jang Kyeong Min, Lee Myeong Bae, Lim Jong Hyun, Oh Han Byeol, Shin Chang Sun, Park Jang Woo KIPS Transactions on Software and Data Engineering, Vol. 12, No. 3, pp. 125-132, Mar. 2023
    https://doi.org/10.3745/KTSDE.2023.12.3.125
    Keywords: Machine Learning, Vapor Pressure Deficit(VPD), Prediction Model, Smart Farm, Light Gradient Boosting Machine(LGBM), RandomForest


    An Energy Consumption Prediction Model for Smart Factory Using Data Mining Algorithms
    Sathishkumar V E, Myeongbae Lee, Jonghyun Lim, Yubin Kim, Changsun Shin, Jangwoo Park, Yongyun Cho KIPS Transactions on Software and Data Engineering, Vol. 9, No. 5, pp. 153-160, May. 2020
    https://doi.org/10.3745/KTSDE.2020.9.5.153  
    Keywords: energy consumption, Data Mining, Random Forest, linear regression, Gradient Boosting Machine, Support Vector Machine


    Prediction of Cryptocurrency Price Trend Using Gradient Boosting
    Joo-Seong Heo, Do-Hyung Kwon, Ju-Bong Kim, Youn-Hee Han, Chae-Hun An KIPS Transactions on Software and Data Engineering, Vol. 7, No. 10, pp. 387-396, Oct. 2018
    10.3745/KTSDE.2018.7.10.387
    Keywords: Price Prediction, Cryptocurrency, Machine Learning, Supervised Learning, Gradient Boosting


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