Digital Library
Search: "[ keyword: Boosting ]" (6)
Ensemble Learning of Region Based Classifiers
Sung Ha Choi , Byung Woo Lee , Ji Hoon Yang The KIPS Transactions:PartB ,
Vol. 14, No. 4, pp. 303-310,
Aug.
2007
10.3745/KIPSTB.2007.14.4.303
10.3745/KIPSTB.2007.14.4.303
A Study on Classification Models for Predicting Bankruptcy Based on XAI
Jihong Kim, Nammee Moon KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 8, pp. 333-340,
Aug.
2023
https://doi.org/10.3745/KTSDE.2023.12.8.333
Keywords: Big data, Classification Model, Explainable AI, Bagging, Boosting, Ensemble
https://doi.org/10.3745/KTSDE.2023.12.8.333
Keywords: Big data, Classification Model, Explainable AI, Bagging, Boosting, Ensemble
Comparison of Machine Learning-Based Greenhouse VPD Prediction Models
Jang Kyeong Min, Lee Myeong Bae, Lim Jong Hyun, Oh Han Byeol, Shin Chang Sun, Park Jang Woo KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 3, pp. 125-132,
Mar.
2023
https://doi.org/10.3745/KTSDE.2023.12.3.125
Keywords: Machine Learning, Vapor Pressure Deficit(VPD), Prediction Model, Smart Farm, Light Gradient Boosting Machine(LGBM), RandomForest
https://doi.org/10.3745/KTSDE.2023.12.3.125
Keywords: Machine Learning, Vapor Pressure Deficit(VPD), Prediction Model, Smart Farm, Light Gradient Boosting Machine(LGBM), RandomForest
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
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
Prediction of Cryptocurrency Price Trend Using Gradient Boosting
Joo-Seong Heo, Do-Hyung Kwon, Ju-Bong Kim, Youn-Hee Han, Chae-Hun An KIPS Transactions on Software and Data Engineering,
Vol. 7, No. 10, pp. 387-396,
Oct.
2018
10.3745/KTSDE.2018.7.10.387
Keywords: Price Prediction, Cryptocurrency, Machine Learning, Supervised Learning, Gradient Boosting
10.3745/KTSDE.2018.7.10.387
Keywords: Price Prediction, Cryptocurrency, Machine Learning, Supervised Learning, Gradient Boosting
Effective Harmony Search-Based Optimization of Cost-Sensitive Boosting for Improving the Performance of Cross-Project Defect Prediction
Duksan Ryu, Jongmoon Baik KIPS Transactions on Software and Data Engineering,
Vol. 7, No. 3, pp. 77-90,
Mar.
2018
10.3745/KTSDE.2018.7.3.77
Keywords: Cost-Sensitive Boosting, Cross-Project Defect Prediction, Harmony Search, Search-Based Software Engineering, Transfer Learning
10.3745/KTSDE.2018.7.3.77
Keywords: Cost-Sensitive Boosting, Cross-Project Defect Prediction, Harmony Search, Search-Based Software Engineering, Transfer Learning
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).
