Digital Library
Search: "[ author: 이범주 ]" (5)
Discovery of Frequent Sequence pattern in Moving Object Databases
Bum Ju Lee , Keun Ho Ryu The KIPS Transactions:PartD,
Vol. 15, No. 2, pp. 179-186,
Apr.
2008
10.3745/KIPSTD.2008.15.2.179
10.3745/KIPSTD.2008.15.2.179
Implementation of Prototype for a Protein Motif Prediction and Update
Gi Young Noh , Muon Shik Kim , Bum Ju Lee , Sang Tae Lee , Keun Ho Ryu The KIPS Transactions:PartD,
Vol. 11, No. 4, pp. 845-854,
Aug.
2004
10.3745/KIPSTD.2004.11.4.845
10.3745/KIPSTD.2004.11.4.845
Prediction Model of Hypertension Using Sociodemographic Characteristics Based on Machine Learning
Bum Ju Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 541-546,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.541
Keywords: machine leaning, Prediction Model, Hypertension, Sociodemographic Characteristics, Public Health
https://doi.org/10.3745/KTSDE.2021.10.11.541
Keywords: machine leaning, Prediction Model, Hypertension, Sociodemographic Characteristics, Public Health
Implementation of Protein Motif Prediction System Using integrated Motif Resources
Lee Beom Ju , Choe Eun Seon , Lyu Geun Ho The KIPS Transactions:PartD,
Vol. 10, No. 4, pp. 679-688,
Aug.
2003
10.3745/KIPSTD.2003.10.4.679
10.3745/KIPSTD.2003.10.4.679
Prediction Model for Hypertriglyceridemia Based on Naive Bayes Using Facial Characteristics
Lee Juwon, Lee Bum Ju KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 11, pp. 433-440,
Nov.
2019
https://doi.org/10.3745/KTSDE.2019.8.11.433
Keywords: Machine Learning, Facial Characteristics, Hypertriglyceridemia, Predictive model
https://doi.org/10.3745/KTSDE.2019.8.11.433
Keywords: Machine Learning, Facial Characteristics, Hypertriglyceridemia, Predictive model
Category Search
Publications
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
- Vol. 12, No. 11 (Nov. 2023)
- Vol. 12, No. 10 (Oct. 2023)
- Vol. 12, No. 9 (Sep. 2023)
- Vol. 12, No. 8 (Aug. 2023)
- Vol. 12, No. 7 (Jul. 2023)
- Vol. 12, No. 6 (Jun. 2023)
- Vol. 12, No. 5 (May. 2023)
- Vol. 12, No. 4 (Apr. 2023)
- Vol. 12, No. 3 (Mar. 2023)
- Vol. 12, No. 2 (Feb. 2023)
- Vol. 12, No. 1 (Jan. 2023)
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Vol. 11, 2022
- Vol. 11, No. 12 (Dec. 2022)
- Vol. 11, No. 11 (Nov. 2022)
- Vol. 11, No. 10 (Oct. 2022)
- Vol. 11, No. 9 (Sep. 2022)
- Vol. 11, No. 8 (Aug. 2022)
- Vol. 11, No. 7 (Jul. 2022)
- Vol. 11, No. 6 (Jun. 2022)
- Vol. 11, No. 5 (May. 2022)
- Vol. 11, No. 4 (Apr. 2022)
- Vol. 11, No. 3 (Mar. 2022)
- Vol. 11, No. 2 (Feb. 2022)
- Vol. 11, No. 1 (Jan. 2022)
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Vol. 10, 2021
- Vol. 10, No. 12 (Dec. 2021)
- Vol. 10, No. 11 (Nov. 2021)
- Vol. 10, No. 10 (Oct. 2021)
- Vol. 10, No. 9 (Sep. 2021)
- Vol. 10, No. 8 (Aug. 2021)
- Vol. 10, No. 7 (Jul. 2021)
- Vol. 10, No. 6 (Jun. 2021)
- Vol. 10, No. 5 (May. 2021)
- Vol. 10, No. 4 (Apr. 2021)
- Vol. 10, No. 3 (Mar. 2021)
- Vol. 10, No. 2 (Feb. 2021)
- Vol. 10, No. 1 (Jan. 2021)
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Vol. 9, 2020
- Vol. 9, No. 12 (Dec. 2020)
- Vol. 9, No. 11 (Nov. 2020)
- Vol. 9, No. 10 (Oct. 2020)
- Vol. 9, No. 9 (Sep. 2020)
- Vol. 9, No. 8 (Aug. 2020)
- Vol. 9, No. 7 (Jul. 2020)
- Vol. 9, No. 6 (Jun. 2020)
- Vol. 9, No. 5 (May. 2020)
- Vol. 9, No. 4 (Apr. 2020)
- Vol. 9, No. 3 (Mar. 2020)
- Vol. 9, No. 2 (Feb. 2020)
- Vol. 9, No. 1 (Jan. 2020)
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Vol. 8, 2019
- Vol. 8, No. 12 (Dec. 2019)
- Vol. 8, No. 11 (Nov. 2019)
- Vol. 8, No. 10 (Oct. 2019)
- Vol. 8, No. 9 (Sep. 2019)
- Vol. 8, No. 8 (Aug. 2019)
- Vol. 8, No. 7 (Jul. 2019)
- Vol. 8, No. 6 (Jun. 2019)
- Vol. 8, No. 5 (May. 2019)
- Vol. 8, No. 4 (Apr. 2019)
- Vol. 8, No. 3 (Mar. 2019)
- Vol. 8, No. 2 (Feb. 2019)
- Vol. 8, No. 1 (Jan. 2019)
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Vol. 7, 2018
- Vol. 7, No. 12 (Dec. 2018)
- Vol. 7, No. 11 (Nov. 2018)
- Vol. 7, No. 10 (Oct. 2018)
- Vol. 7, No. 9 (Sep. 2018)
- Vol. 7, No. 8 (Aug. 2018)
- Vol. 7, No. 7 (Jul. 2018)
- Vol. 7, No. 6 (Jun. 2018)
- Vol. 7, No. 5 (May. 2018)
- Vol. 7, No. 4 (Apr. 2018)
- Vol. 7, No. 3 (Mar. 2018)
- Vol. 7, No. 2 (Feb. 2018)
- Vol. 7, No. 1 (Jan. 2018)
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Vol. 6, 2017
- Vol. 6, No. 12 (Dec. 2017)
- Vol. 6, No. 11 (Nov. 2017)
- Vol. 6, No. 10 (Oct. 2017)
- Vol. 6, No. 9 (Sep. 2017)
- Vol. 6, No. 8 (Aug. 2017)
- Vol. 6, No. 7 (Jul. 2017)
- Vol. 6, No. 6 (Jun. 2017)
- Vol. 6, No. 5 (May. 2017)
- Vol. 6, No. 4 (Apr. 2017)
- Vol. 6, No. 3 (Mar. 2017)
- Vol. 6, No. 2 (Feb. 2017)
- Vol. 6, No. 1 (Jan. 2017)
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Vol. 5, 2016
- Vol. 5, No. 12 (Dec. 2016)
- Vol. 5, No. 11 (Nov. 2016)
- Vol. 5, No. 10 (Oct. 2016)
- Vol. 5, No. 9 (Sep. 2016)
- Vol. 5, No. 8 (Aug. 2016)
- Vol. 5, No. 7 (Jul. 2016)
- Vol. 5, No. 6 (Jun. 2016)
- Vol. 5, No. 5 (May. 2016)
- Vol. 5, No. 4 (Apr. 2016)
- Vol. 5, No. 3 (Mar. 2016)
- Vol. 5, No. 2 (Feb. 2016)
- Vol. 5, No. 1 (Jan. 2016)
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Vol. 4, 2015
- Vol. 4, No. 12 (Dec. 2015)
- Vol. 4, No. 11 (Nov. 2015)
- Vol. 4, No. 10 (Oct. 2015)
- Vol. 4, No. 9 (Sep. 2015)
- Vol. 4, No. 8 (Aug. 2015)
- Vol. 4, No. 7 (Jul. 2015)
- Vol. 4, No. 6 (Jun. 2015)
- Vol. 4, No. 5 (May. 2015)
- Vol. 4, No. 4 (Apr. 2015)
- Vol. 4, No. 3 (Mar. 2015)
- Vol. 4, No. 2 (Feb. 2015)
- Vol. 4, No. 1 (Jan. 2015)
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Vol. 3, 2014
- Vol. 3, No. 12 (Dec. 2014)
- Vol. 3, No. 11 (Nov. 2014)
- Vol. 3, No. 10 (Oct. 2014)
- Vol. 3, No. 9 (Sep. 2014)
- Vol. 3, No. 8 (Aug. 2014)
- Vol. 3, No. 7 (Jul. 2014)
- Vol. 3, No. 6 (Jun. 2014)
- Vol. 3, No. 5 (May. 2014)
- Vol. 3, No. 4 (Apr. 2014)
- Vol. 3, No. 3 (Mar. 2014)
- Vol. 3, No. 2 (Feb. 2014)
- Vol. 3, No. 1 (Jan. 2014)
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Vol. 2, 2013
- Vol. 2, No. 12 (Dec. 2013)
- Vol. 2, No. 11 (Nov. 2013)
- Vol. 2, No. 10 (Oct. 2013)
- Vol. 2, No. 9 (Sep. 2013)
- Vol. 2, No. 8 (Aug. 2013)
- Vol. 2, No. 7 (Jul. 2013)
- Vol. 2, No. 6 (Jun. 2013)
- Vol. 2, No. 5 (May. 2013)
- Vol. 2, No. 4 (Apr. 2013)
- Vol. 2, No. 3 (Mar. 2013)
- Vol. 2, No. 2 (Feb. 2013)
- Vol. 2, No. 1 (Jan. 2013)
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Vol. 1, 2012
Old Journals
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
Organization
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