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Search: "[ keyword: Time-Series Data ]" (9)
    Efficient Storage Structures for a Stock Investment Recommendation System
    You Min Ha , Sang Wook Kim , Sang Hyun Park , Seung Hwan Lim The KIPS Transactions:PartD, Vol. 16, No. 2, pp. 169-176, Apr. 2009
    10.3745/KIPSTD.2009.16.2.169

    Hybrid Lower-Dimensional Transformation for Similar Sequence Matching
    Yang Sae Moon , Jin Ho Kim The KIPS Transactions:PartD, Vol. 15, No. 1, pp. 31-40, Feb. 2008
    10.3745/KIPSTD.2008.15.1.31

    A Single Index Approach for Subsequence Matching that Supports Normalization Transform in Time-Series Databases
    Yang Sae Moon , Jin Ho Kim , Woong Kee Loh The KIPS Transactions:PartD, Vol. 13, No. 4, pp. 513-524, Aug. 2006
    10.3745/KIPSTD.2006.13.4.513

    Effectiveness Evaluations of Subsequence Matching Methods Using KOSPI Data
    Seung Keun Yoo , Sang Ho Lee The KIPS Transactions:PartD, Vol. 12, No. 3, pp. 355-364, Jun. 2005
    10.3745/KIPSTD.2005.12.3.355

    Subsequence Matching Under Time Warping in Time-Series Databases: Observation, Optimization, and Performance Results
    Man Soon Kim , Sang Wook Kim The KIPS Transactions:PartD, Vol. 11, No. 7, pp. 1385-1398, Dec. 2004
    10.3745/KIPSTD.2004.11.7.1385

    An Optimal Way to Index Searching of Duality-Based Time-Series Subsequence Matching
    Sang Wook Kim , Dae Hyun Park , Heon Gil Lee The KIPS Transactions:PartD, Vol. 11, No. 5, pp. 1003-1010, Oct. 2004
    10.3745/KIPSTD.2004.11.5.1003

    Construction of Theme Melody Index by Transforming Melody to Time-series Data for Content based Music Information Retrieval
    Jin Seok Ha , Kyong I Ku , Jae Hyun Park , Yoo Sung Kim The KIPS Transactions:PartD, Vol. 10, No. 3, pp. 547-558, Jun. 2003
    10.3745/KIPSTD.2003.10.3.547

    A Time-Series Data Prediction Using TensorFlow Neural Network Libraries
    Kumbayoni Lalu Muh, Sung-Bong Jang KIPS Transactions on Computer and Communication Systems, Vol. 8, No. 4, pp. 79-86, Apr. 2019
    https://doi.org/10.3745/KTCCS.2019.8.4.79
    Keywords: Artificial Neural Networks, Time-Series Data, Data Prediction, Tensorflow

    Instance-Level Subsequence Matching Method based on a Virtual Window
    Sun Young Ihm , Young Ho Park KIPS Transactions on Computer and Communication Systems, Vol. 3, No. 2, pp. 43-46, Feb. 2014
    10.3745/KTCCS.2014.3.2.43

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