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Search: "[ keyword: prediction ]" (71)
A Comparative Study on Game-Score Prediction Models Using Compuational Thinking Education Game Data
Yeongwook Yang KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 529-534,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.529
Keywords: Computational Thinking, prediction, Game Based Learning, Regression
https://doi.org/10.3745/KTSDE.2021.10.11.529
Keywords: Computational Thinking, prediction, Game Based Learning, Regression
Deep Learning-Based Stock Fluctuation Prediction According to Overseas Indices and Trading Trend by Investors
Tae Seung Kim, Soowon Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 367-374,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.367
Keywords: Stock Price Fluctuation Prediction, Deep Learning, Overseas Indices, Trading Trends by Investor
https://doi.org/10.3745/KTSDE.2021.10.9.367
Keywords: Stock Price Fluctuation Prediction, Deep Learning, Overseas Indices, Trading Trends by Investor
Bayesian Optimization Framework for Improved Cross-Version Defect Prediction
Jeongwhan Choi, Duksan Ryu KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 339-348,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.339
Keywords: Software Defect Prediction, Bayesian Optimization, Transfer Learning, Cross-Version Defect Prediction
https://doi.org/10.3745/KTSDE.2021.10.9.339
Keywords: Software Defect Prediction, Bayesian Optimization, Transfer Learning, Cross-Version Defect Prediction
Proposed TATI Model for Predicting the Traffic Accident Severity
Min-Ji Choo, So-Hyun Park, Young-Ho Park KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 8, pp. 301-310,
Aug.
2021
https://doi.org/10.3745/KTSDE.2021.10.8.301
Keywords: TATI, Color Representation, Severity Prediction, Traffic Accident
https://doi.org/10.3745/KTSDE.2021.10.8.301
Keywords: TATI, Color Representation, Severity Prediction, Traffic Accident
Black Ice Formation Prediction Model Based on Public Data in Land, Infrastructure and Transport Domain
Jeong Ho Na, Sung-Ho Yoon, Hyo-Jung Oh KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 7, pp. 257-262,
Jul.
2021
https://doi.org/10.3745/KTSDE.2021.10.7.257
Keywords: Black Ice, Public Data, Data Cleansing, Machine Learning, prediction
https://doi.org/10.3745/KTSDE.2021.10.7.257
Keywords: Black Ice, Public Data, Data Cleansing, Machine Learning, prediction
A K-Means-Based Clustering Algorithm for Traffic Prediction in a Bike-Sharing System
Kyoungok Kim, Chang Hwan Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 5, pp. 169-178,
May.
2021
https://doi.org/10.3745/KTSDE.2021.10.5.169
Keywords: Bike Sharing System, clustering, demand prediction, Random Forest
https://doi.org/10.3745/KTSDE.2021.10.5.169
Keywords: Bike Sharing System, clustering, demand prediction, Random Forest
A Modeling of Realtime Fuel Comsumption Prediction Using OBDII Data
Hee-Eun Yang, Do-Hyun Kim, Hoseop Choe KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 2, pp. 57-64,
Feb.
2021
https://doi.org/10.3745/KTSDE.2021.10.2.57
Keywords: Fuel Consumption, Prediction Model, Stacking Ensemble, Regression Model, OBDII
https://doi.org/10.3745/KTSDE.2021.10.2.57
Keywords: Fuel Consumption, Prediction Model, Stacking Ensemble, Regression Model, OBDII
Mortality Prediction of Older Adults Using Random Forest and Deep Learning
Junhyeok Park, Songwook Lee KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 10, pp. 309-316,
Oct.
2020
https://doi.org/10.3745/KTSDE.2020.9.10.309
Keywords: Mortality Prediction, Convolutional Neural Network, Random Forest, Feature selection, Deep Learning
https://doi.org/10.3745/KTSDE.2020.9.10.309
Keywords: Mortality Prediction, Convolutional Neural Network, Random Forest, Feature selection, Deep Learning
Prediction of English Premier League Game Using an Ensemble Technique
Yi Jae Hyun, Lee Soo Won KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 5, pp. 161-168,
May.
2020
https://doi.org/10.3745/KTSDE.2020.9.5.161
Keywords: Machine Learning, Artificial intelligence, Sports Game Prediction, Ensemble Technique, Data Analysis
https://doi.org/10.3745/KTSDE.2020.9.5.161
Keywords: Machine Learning, Artificial intelligence, Sports Game Prediction, Ensemble Technique, Data Analysis
Predicting Win-Loss of League of Legends Using Bidirectional LSTM Embedding
Cheolgi Kim, Soowon Lee KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 2, pp. 61-68,
Feb.
2020
https://doi.org/10.3745/KTSDE.2020.9.2.61
Keywords: League of Legends, Win-Loss Prediction, Machine Learning, Neural Network, LSTM
https://doi.org/10.3745/KTSDE.2020.9.2.61
Keywords: League of Legends, Win-Loss Prediction, Machine Learning, Neural Network, LSTM