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Search: "[ keyword: Regression ]" (32)
    Apartment Price Prediction Using Deep Learning and Machine Learning
    Hakhyun Kim, Hwankyu Yoo, Hayoung Oh KIPS Transactions on Software and Data Engineering, Vol. 12, No. 2, pp. 59-76, Feb. 2023
    https://doi.org/10.3745/KTSDE.2023.12.2.59
    Keywords: Real Estate, Regression, DNN, XGBoost, CatBoost, map visualization


    Learning Method for Regression Model by Analysis of Relationship Between Input and Output Data with Periodicity
    Hye-Jin Kim, Ye-Seul Park, Jung-Won Lee KIPS Transactions on Software and Data Engineering, Vol. 11, No. 7, pp. 299-306, Jul. 2022
    https://doi.org/10.3745/KTSDE.2022.11.7.299
    Keywords: Neural Network, Fault diagnosis, Sensor data, Regression Model, Thermal Estimation


    A Comparative Study on Game-Score Prediction Models Using Compuational Thinking Education Game Data
    Yeongwook Yang KIPS Transactions on Software and Data Engineering, Vol. 10, No. 11, pp. 529-534, Nov. 2021
    https://doi.org/10.3745/KTSDE.2021.10.11.529
    Keywords: Computational Thinking, prediction, Game Based Learning, Regression


    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


    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


    Regression Model With High Reliability by Using Neural Networks
    Yong Hyun Cho The KIPS Transactions:PartB , Vol. 8, No. 4, pp. 327-334, Aug. 2001
    10.3745/KIPSTB.2001.8.4.327


    An Analysis of Effects of Emergency Fine Dust Reduction Measures and National Petition Using Regression Analysis and Text Mining
    Annie Kim, So-Hee Jeong, Hyun-Bin Choi, Hyon Hee Kim KIPS Transactions on Software and Data Engineering, Vol. 7, No. 11, pp. 427-434, Nov. 2018
    10.3745/KTSDE.2018.7.11.427
    Keywords: Fine Dust, Transportation, Regression, Text Mining, topic modeling


    Incremental Ensemble Learning for The Combination of Multiple Models of Locally Weighted Regression Using Genetic Algorithm
    Kim Sang Hun, Chung Byung Hee, Lee Gun Ho KIPS Transactions on Software and Data Engineering, Vol. 7, No. 9, pp. 351-360, Sep. 2018
    10.3745/KTSDE.2018.7.9.351
    Keywords: Locally Weighted Regression, Multi Model Selection, Incremental Ensemble Learning, genetic algorithm


    Head Pose Estimation Based on Perspective Projection Using PTZ Camera
    Kim Jin Suh, Lee Gyung Ju, Kim Gye Young KIPS Transactions on Software and Data Engineering, Vol. 7, No. 7, pp. 267-274, Jul. 2018
    10.3745/KTSDE.2018.7.7.267
    Keywords: Head pose Estimation, Perspective Projection, POSIT, MCT, Regression Tree


    Outside Temperature Prediction Based on Artificial Neural Network for Estimating the Heating Load in Greenhouse
    Kim Sang Yeob, Park Kyoung Sub, Ryu Keun Ho KIPS Transactions on Software and Data Engineering, Vol. 7, No. 4, pp. 129-134, Apr. 2018
    10.3745/KTSDE.2018.7.4.129
    Keywords: Artificial neural network, Facility Horticulture, Heating Load, Regression, Support Vector Machine


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