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Search: "[ keyword: Random Forest ]" (8)
    Research on the modified algorithm for improving accuracy of Random Forest classifier which identifies automatically arrhythmia
    Hyun Ju Lee , Dong Kyoo Shin , Hee Won Park , Soo Han Kim , Dong Il Shin The KIPS Transactions:PartB , Vol. 18, No. 6, pp. 341-348, Dec. 2011
    10.3745/KIPSTB.2011.18.6.341


    A K-Means-Based Clustering Algorithm for Traffic Prediction in a Bike-Sharing System
    Kyoungok Kim, Chang Hwan Lee KIPS Transactions on Software and Data Engineering, Vol. 10, No. 5, pp. 169-178, May. 2021
    https://doi.org/10.3745/KTSDE.2021.10.5.169
    Keywords: Bike Sharing System, clustering, demand prediction, Random Forest


    Mortality Prediction of Older Adults Using Random Forest and Deep Learning
    Junhyeok Park, Songwook Lee KIPS Transactions on Software and Data Engineering, Vol. 9, No. 10, pp. 309-316, Oct. 2020
    https://doi.org/10.3745/KTSDE.2020.9.10.309
    Keywords: Mortality Prediction, Convolutional Neural Network, Random Forest, Feature selection, Deep Learning


    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


    Hourly Prediction of Particulate Matter (PM2.5) Concentration Using Time Series Data and Random Forest
    Deukwoo Lee, Soowon Lee KIPS Transactions on Software and Data Engineering, Vol. 9, No. 4, pp. 129-136, Apr. 2020
    https://doi.org/10.3745/KTSDE.2020.9.4.129
    Keywords: Particulate Matter, PM2.5, Time Series Data, Machine Learning, Random Forest


    Coreference Resolution for Korean Using Random Forests
    Seok-Won Jeong, MaengSik Choi, HarkSoo Kim KIPS Transactions on Software and Data Engineering, Vol. 5, No. 11, pp. 535-540, Nov. 2016
    10.3745/KTSDE.2016.5.11.535
    Keywords: Coreference Resolution, Random Forest, Sieve-Guided Features


    Diagnosis of Parkinson"s Disease Using Two Types of Biomarkers and Characterization of Fiber Pathways
    Shin Ttae Kang , Wook Lee , Byung Kyu Park , Kyung Sook Han KIPS Transactions on Software and Data Engineering, Vol. 3, No. 10, pp. 421-428, Oct. 2014
    10.3745/KTSDE.2014.3.10.421


    Medical Image Classification and Retrieval Using BOF Feature Histogram with Random Forest Classifier
    Son Jung Eun , Ko Byoung Chul , Nam Jae Yeal KIPS Transactions on Software and Data Engineering, Vol. 2, No. 4, pp. 273-280, Apr. 2013
    10.3745/KTSDE.2013.2.4.273


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