Kyoungok Kim

According to our database, Kyoungok Kim authored at least 24 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fully Homomorphic Training and Inference on Binary Decision Tree and Random Forest.

Hojune Shin, Jina Choi, Dain Lee, Kyoungok Kim, Younho Lee

IACR Cryptol. ePrint Arch., 2024

2023

A new similarity measure to increase coverage of rating predictions for collaborative filtering.

Kyoungok Kim

Appl. Intell., December, 2023

Collaborative filtering recommendation system based on improved Jaccard similarity.

Soon Hyeok Park, Kyoungok Kim

J. Ambient Intell. Humaniz. Comput., 2023

2022

Spatial Contiguity-Constrained Hierarchical Clustering for Traffic Prediction in Bike Sharing Systems.

Kyoungok Kim

IEEE Trans. Intell. Transp. Syst., 2022

An improved similarity measure for collaborative filtering-based recommendation system.

Cheong Rok Lee, Kyoungok Kim

Int. J. Knowl. Based Intell. Eng. Syst., 2022

Improved noise-filtering algorithm for AdaBoost using the inter-and intra-class variability of imbalanced datasets.

Dohyun Lee, Kyoungok Kim

J. Intell. Fuzzy Syst., 2022

2021

Normalized class coherence change-based kNN for classification of imbalanced data.

Kyoungok Kim

Pattern Recognit., 2021

Investigation on Viewing Behaviors for Home Shopping Channels Using Large-Scale TV Log Data.

Kyoungok Kim

Int. J. Knowl. Syst. Sci., 2021

An efficient method to determine sample size in oversampling based on classification complexity for imbalanced data.

Dohyun Lee, Kyoungok Kim

Expert Syst. Appl., 2021

Noise Avoidance SMOTE in Ensemble Learning for Imbalanced Data.

Kyoungok Kim

IEEE Access, 2021

2020

Identifying the Structure of Cities by Clustering Using a New Similarity Measure Based on Smart Card Data.

Kyoungok Kim

IEEE Trans. Intell. Transp. Syst., 2020

2019

Semi-supervised distributed representations of documents for sentiment analysis.

Saerom Park, Jaewook Lee, Kyoungok Kim

Neural Networks, 2019

Trigonometric comparison measure: A feature selection method for text categorization.

Kyoungok Kim, See Young Zzang

Data Knowl. Eng., 2019

2018

An improved semi-supervised dimensionality reduction using feature weighting: Application to sentiment analysis.

Kyoungok Kim

Expert Syst. Appl., 2018

2017

A hybrid decision tree algorithm for mixed numeric and categorical data in regression analysis.

Kyoungok Kim, Jung-Sik Hong

Pattern Recognit. Lett., 2017

A weighted k-modes clustering using new weighting method based on within-cluster and between-cluster impurity measures.

Kyoungok Kim

J. Intell. Fuzzy Syst., 2017

2016

A hybrid classification algorithm by subspace partitioning through semi-supervised decision tree.

Kyoungok Kim

Pattern Recognit., 2016

Gradients Weights improve Regression and Classification.

Samory Kpotufe, Abdeslam Boularias, Thomas Schultz, Kyoungok Kim

J. Mach. Learn. Res., 2016

2015

Voronoi Cell-Based Clustering Using a Kernel Support.

Kyoungok Kim, Youngdoo Son, Jaewook Lee

IEEE Trans. Knowl. Data Eng., 2015

2014

Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction.

Kyoungok Kim, Jaewook Lee

Pattern Recognit., 2014

Inductive manifold learning using structured support vector machine.

Kyoungok Kim, Daewon Lee

Pattern Recognit., 2014

Nonlinear Dynamic Projection for Noise Reduction of Dispersed Manifolds.

Kyoungok Kim, Jaewook Lee

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Improved churn prediction in telecommunication industry by analyzing a large network.

Kyoungok Kim, Chi-Hyuck Jun, Jaewook Lee

Expert Syst. Appl., 2014

2012

Sequential manifold learning for efficient churn prediction.

Kyoungok Kim, Jaewook Lee

Expert Syst. Appl., 2012