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Search: "[ keyword: Time Series ]" (12)
    Daily Stock Price Prediction Using Fuzzy Model
    Hee Soo Hwang The KIPS Transactions:PartB , Vol. 15, No. 6, pp. 603-608, Dec. 2008
    10.3745/KIPSTB.2008.15.6.603


    Efficient Similarity Search in Multi-attribute Time Series Databases
    Sang Jun Lee The KIPS Transactions:PartD, Vol. 14, No. 7, pp. 727-732, Dec. 2007
    10.3745/KIPSTD.2007.14.7.727


    Temporal Fusion Transformers and Deep Learning Methodsfor Multi-Horizon Time Series Forecasting
    InKyung Kim, DaeHee Kim, Jaekoo Lee KIPS Transactions on Software and Data Engineering, Vol. 11, No. 2, pp. 81-86, Feb. 2022
    https://doi.org/10.3745/KTSDE.2022.11.2.81
    Keywords: Time Series, Multi-variate Data Analysis, Multi-horizon Forecasting, Deep Learning, Neural Networks


    Style-Based Transformer for Time Series Forecasting
    Dong-Keon Kim, Kwangsu Kim KIPS Transactions on Software and Data Engineering, Vol. 10, No. 12, pp. 579-586, Dec. 2021
    https://doi.org/10.3745/KTSDE.2021.10.12.579
    Keywords: Time Series Forecasting, Transformer, Generative Decoder, Style Transfer


    Leased Line Traffic Prediction Using a Recurrent Deep Neural Network Model
    In-Gyu Lee, Mi-Hwa Song KIPS Transactions on Software and Data Engineering, Vol. 10, No. 10, pp. 391-398, Oct. 2021
    https://doi.org/10.3745/KTSDE.2021.10.10.391
    Keywords: Leased Line, Traffic Modeling, time series analysis, Deep Learning, RNN, LSTM


    Optimization of Post - Processing for Subsequence Matching in Time - Series Databases
    Sang Wook Kim The KIPS Transactions:PartD, Vol. 9, No. 4, pp. 555-560, Aug. 2002
    10.3745/KIPSTD.2002.9.4.555


    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


    Time Series Perturbation Modeling Algorithm - Combination of Genetic Programming and Quantum Mechanical Perturbation Theory
    Geum Yong Lee The KIPS Transactions:PartB , Vol. 9, No. 3, pp. 277-286, Jun. 2002
    10.3745/KIPSTB.2002.9.3.277


    Data Mining Time Series Data With Virtual Transaction
    Ung Mo Kim, Min Soo Kim, Chul Hwan Kim The KIPS Transactions:PartD, Vol. 9, No. 2, pp. 251-257, Apr. 2002
    10.3745/KIPSTD.2002.9.2.251


    Study on the Test and Visualization of Change in Structures Associated with the Occurrence of Non-Stationary of Long-Term Time Series Data Based on Unit Root Test
    Jaeseong Yoo, Jaegul Choo KIPS Transactions on Software and Data Engineering, Vol. 8, No. 7, pp. 289-302, Jul. 2019
    https://doi.org/10.3745/KTSDE.2019.8.7.289
    Keywords: Time Series, Non-Stationary, Unit Root Test, Visualization


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