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Search: "[ keyword: Prediction Model ]" (10)
    An Experimental Study of Generality of Software Defects Prediction Models based on Object Oriented Metrics
    Tae Yeon Kim , Yun Kyu Kim , Heung Seok Chae The KIPS Transactions:PartD, Vol. 16, No. 3, pp. 407-416, Jun. 2009
    10.3745/KIPSTD.2009.16.3.407


    Data Communication Prediction Model in Multiprocessors based on Robust Estimation
    Jang Hwan Jun , Kang Woo Lee The KIPS Transactions:PartA, Vol. 12, No. 3, pp. 243-252, Jun. 2005
    10.3745/KIPSTA.2005.12.3.243


    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


    Verifying Execution Prediction Model based on Learning Algorithm for Real-time Monitoring
    Yoon Seok Jeong , Tae Wan Kim , Chun Hyon Chang The KIPS Transactions:PartA, Vol. 11, No. 4, pp. 243-250, Aug. 2004
    10.3745/KIPSTA.2004.11.4.243


    Prediction Model of Hypertension Using Sociodemographic Characteristics Based on Machine Learning
    Bum Ju Lee KIPS Transactions on Software and Data Engineering, Vol. 10, No. 11, pp. 541-546, Nov. 2021
    https://doi.org/10.3745/KTSDE.2021.10.11.541
    Keywords: machine leaning, Prediction Model, Hypertension, Sociodemographic Characteristics, Public Health


    A Software Quality Prediction Model Without Training Data Set
    Hong Ui Seog The KIPS Transactions:PartD, Vol. 10, No. 4, pp. 689-696, Aug. 2003
    10.3745/KIPSTD.2003.10.4.689


    A Modeling of Realtime Fuel Comsumption Prediction Using OBDII Data
    Hee-Eun Yang, Do-Hyun Kim, Hoseop Choe KIPS Transactions on Software and Data Engineering, Vol. 10, No. 2, pp. 57-64, Feb. 2021
    https://doi.org/10.3745/KTSDE.2021.10.2.57
    Keywords: Fuel Consumption, Prediction Model, Stacking Ensemble, Regression Model, OBDII


    Prediction of Forest Fire Hazardous Area Using Predictive Spatial Data Mining
    Jong Gyu Han , Yeon Kwang Yeon , Kwang Hoon Chi , Keun Ho Ryu The KIPS Transactions:PartD, Vol. 9, No. 6, pp. 1119-1126, Dec. 2002
    10.3745/KIPSTD.2002.9.6.1119


    Unsupervised Learning Model for Fault Prediction Using Representative Clustering Algorithms
    Euy Seok Hong , Mi Kyeong Park KIPS Transactions on Software and Data Engineering, Vol. 3, No. 2, pp. 57-64, Feb. 2014
    10.3745/KTSDE.2014.3.2.57


    Predicting Defect-Prone Software Module Using GA-SVM
    Young Ok Kim , Ki Tae Kwon KIPS Transactions on Software and Data Engineering, Vol. 2, No. 1, pp. 1-6, Jan. 2013
    10.3745/KTSDE.2013.2.1.1


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