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@article{ART002558696},
author={KYUNG MIN KIM and Jong Wook Kwak},
title={BST-IGT Model: Synthetic Benchmark Generation Technique Maintaining Trend of Time Series Data},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={2},
pages={31-39},
doi={10.9708/jksci.2020.25.02.031}

TY - JOUR
AU - KYUNG MIN KIM
AU - Jong Wook Kwak
TI - BST-IGT Model: Synthetic Benchmark Generation Technique Maintaining Trend of Time Series Data
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 2
PB - The Korean Society Of Computer And Information
SP - 31
EP - 39
SN - 1598-849X
AB - In this paper, we introduce a technique for generating synthetic benchmarks based on time series data. Many of the data measured on IoT devices have a time series characteristic that measures numerical changes over time. However, there is a problem that it is difficult to model the data measured over a long period as generalized time series data. To solve this problem, this paper introduces the BST-IGT model. The BST-IGT model separates the entire data into sections that can be easily time-series modeled, collects the generated data into templates, and produces new synthetic benchmarks that share or modify characteristics based on them. As a result of making a new benchmark using the proposed modeling method, we could create a benchmark with multiple aspects by mixing the composite benchmark with the statistical features of the existing data and other benchmarks.
KW - time series data generation;IoTs;performance evaluation;benchmark;ARIMA
DO - 10.9708/jksci.2020.25.02.031
ER -

KYUNG MIN KIM and Jong Wook Kwak. (2020). BST-IGT Model: Synthetic Benchmark Generation Technique Maintaining Trend of Time Series Data. Journal of The Korea Society of Computer and Information, 25(2), 31-39.

KYUNG MIN KIM and Jong Wook Kwak. 2020, "BST-IGT Model: Synthetic Benchmark Generation Technique Maintaining Trend of Time Series Data", Journal of The Korea Society of Computer and Information, vol.25, no.2 pp.31-39. Available from: doi:10.9708/jksci.2020.25.02.031

KYUNG MIN KIM, Jong Wook Kwak "BST-IGT Model: Synthetic Benchmark Generation Technique Maintaining Trend of Time Series Data" Journal of The Korea Society of Computer and Information 25.2 pp.31-39 (2020) : 31.

KYUNG MIN KIM, Jong Wook Kwak. BST-IGT Model: Synthetic Benchmark Generation Technique Maintaining Trend of Time Series Data. 2020; 25(2), 31-39. Available from: doi:10.9708/jksci.2020.25.02.031

KYUNG MIN KIM and Jong Wook Kwak. "BST-IGT Model: Synthetic Benchmark Generation Technique Maintaining Trend of Time Series Data" Journal of The Korea Society of Computer and Information 25, no.2 (2020) : 31-39.doi: 10.9708/jksci.2020.25.02.031

KYUNG MIN KIM; Jong Wook Kwak. BST-IGT Model: Synthetic Benchmark Generation Technique Maintaining Trend of Time Series Data. Journal of The Korea Society of Computer and Information, 25(2), 31-39. doi: 10.9708/jksci.2020.25.02.031

KYUNG MIN KIM; Jong Wook Kwak. BST-IGT Model: Synthetic Benchmark Generation Technique Maintaining Trend of Time Series Data. Journal of The Korea Society of Computer and Information. 2020; 25(2) 31-39. doi: 10.9708/jksci.2020.25.02.031

KYUNG MIN KIM, Jong Wook Kwak. BST-IGT Model: Synthetic Benchmark Generation Technique Maintaining Trend of Time Series Data. 2020; 25(2), 31-39. Available from: doi:10.9708/jksci.2020.25.02.031

KYUNG MIN KIM and Jong Wook Kwak. "BST-IGT Model: Synthetic Benchmark Generation Technique Maintaining Trend of Time Series Data" Journal of The Korea Society of Computer and Information 25, no.2 (2020) : 31-39.doi: 10.9708/jksci.2020.25.02.031