Kwanghoon Kim

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Professor

Kyungpook National University

South Korea

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About

Kwanghoon Kim is a Professor at Kyonggi University in South Korea. His research primarily focuses on process mining, predictive modeling, and the application of artificial intelligence in industrial contexts. Recent articles include work on business process discovery, anomaly detection in complex systems, and the use of AutoML in manufacturing processes.

Recent Grants

Grant: Open

Research and Development on Predictive Enterprise Process Monitoring and Modelling Frameworks Using Process Mining and Time Series Forecasting Deep-Learning Technologies

Open Date: 2022-09-01

Close Date: 2027-02-01

Grant: Open

K-NRF Science and Engineering Research Institute Project

Open Date: 2020-06-01

Close Date: 2029-05-01

Articles (17)

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (3)

Hyun Ahn

Assistant Professor

Hanshin University

SOUTH KOREA

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Dinh-Lam Pham

Kyungpook National University

SOUTH KOREA

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Young-Koo Lee

Kyungpook National University

SOUTH KOREA

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Kwanghoon Kim

Research Interests

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About

Recent Grants

Articles (17)

A Web-based System for Business Process Discovery: Leveraging the SICN-Oriented Process Mining Algorithm with Django, Cytoscape, and Graphviz

A Conceptual Architecture and its Experimental Validation of CCTV-Video Object Activitization for Tangible Assets of Experts' Visual Knowledge in Smart Factories

A Predictive Bearing Anomaly Detection Model Using the SWT-SVD Preprocessing Algorithm

A Structural Anomaly-Trace Detection Approach and its Implications in Process Mining and Reengineering

Experimental Analyses of Temporal Activity-Sequencing Anomalies in Process Mining

Discovering Structural Formations of Multi-Level and Compound Control-Flow Gateways From Process Logs

An AutoML-driven Antenna Performance Prediction Model in the Autonomous Driving Radar Manufacturing Process

Control-Path Driven Process-Group Discovery Framework and its Experimental Validation for Process Mining and Reengineering

An experimental mining and analytics for discovering proportional process patterns from workflow enactment event logs

Experimental verification and validation of the SICN-oriented process mining algorithm and system

Experimental verification and validation of the SICN-oriented process mining algorithm and system

Comparison of Missing Data Imputation Methods in Time Series Forecasting

Experimental Verification on Human-Centric Network-Based Resource Allocation Approaches for Process-Aware Information Systems

Process-Aware Enterprise Social Network Prediction and Experiment Using LSTM Neural Network Models

Formal Approach to Workflow Application Fragmentations over Cloud Deployment Models

Organizational Closeness Centralities of Workflow-Supported Performer-to-Activity Affiliation Networks

ρ-Algorithm: A SICN-Oriented Process Mining Framework

Collaborators (3)

Hyun Ahn

Dinh-Lam Pham

Young-Koo Lee

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