고종현 (Jonghyeon Ko)

김종찬 (Jongchan Kim)

김 연수 ( Yeonsu Kim)

권나현

이수환 (Suhwan Lee)

Marcela Vargas Santamaria

Erdenekhuu Unurjargal

Hoang Nguyen

이종엽

Gyunam Park

Minji Son

Jongchan Kim

Kyudong Park

Olzhas Yessenbayev

Roman Tsoy

The Intelligent Enterprise Lab, established in 2016, focuses on applying machine learning techniques, specifically classification, to analyze business process event logs. The lab contributes to major international academic conferences, including the International Conference on Business Process Management, the International Conference on Process Mining, and the International Conference on Advanced Information Systems Engineering. Research outcomes have practical applications, demonstrated through analyses of event logs from the Ulsan Port Authority and a large university hospital in Korea.

지능형 엔터프라이즈 연구실은 2016년에 설립되었으며, 기계 학습 기술(주로 분류)을 비즈니스 프로세스 이벤트 로그 분석에 적용하는 데 중점을 둔다. 주요 연구 분야는 국제 비즈니스 프로세스 관리 컨퍼런스, 국제 프로세스 마이닝 컨퍼런스 및 국제 고급 정보 시스템 엔지니어링 컨퍼런스를 포함한다. 연구 결과는 울산항만공사와 한국의 대형 대학 병원에서 얻은 이벤트 로그 분석을 통해 실질적인 응용 가능성을 입증한다.

Explaining the impact of design choices on model quality in predictive process monitoring

Explainable predictive process monitoring: a user evaluation

Predictive process monitoring: concepts, challenges, and future research directions

Exploiting General Purpose Big-Data Frameworks in Process Mining: The Case of Declarative Process Discovery

On the impact of low-quality activity labels in predictive process monitoring

Understanding the impact of design choices on the performance of predictive process monitoring

Measuring the Stability of Process Outcome Predictions in Online Settings

Genetic algorithms for AutoML in process predictive monitoring

Leveraging a Heterogeneous Ensemble Learning for Outcome-Based Predictive Monitoring Using Business Process Event Logs

Encoding Resource Experience for Predictive Process Monitoring

Exploring the Suitability of Rule-Based Classification to Provide Interpretability in Outcome-Based Process Predictive Monitoring

Stability metrics for enhancing the evaluation of outcome-based business process predictive monitoring

Continuous performance evaluation for business process outcome monitoring

A diagnostic framework for imbalanced classification in business process predictive monitoring

An empirical investigation of different classifiers, encoding and ensemble schemes for next event prediction using business process event logs

An empirical comparison of classification techniques for next event prediction using business process event logs

Predicting outpatient process flows to minimize the cost of handling returning patients: A case study

A Hybrid Reliability Metric for SLA Predictive Monitoring

Does your accurate process predictive monitoring model give reliable predictions?

A Systematic Review of Anomaly Detection for Business Process Event Logs

Keeping our rivers clean: information-theoretic online anomaly detection for streaming business process events

Business Process Event Log Anomaly Detection based on Statistical Leverage

Detecting anomalies in business process event logs using statistical leverage

Online anomaly detection using statistical leverage for streaming business process events

AIR-BAGEL: An Interactive Root cause-Based Anomaly Generator for Event Logs

Autoencoders for Improving Quality of Process Event Logs

Event log reconstruction using autoencoders

What is Blockchain and How Can it Help My Business?(Extended Tutorial Summary)

A Middleware for Hybrid Blockchain Applications: Towards Fast, Affordable, and Accountable Integration

Blockchain for trusted information systems

The quantum threat to blockchain: summary and timeline analysis

Blockchain for Business: Understanding Blockchain and How It Creates Business Value

Toward Quality-Aware Transaction Validation in Blockchains

On the Need for Data Quality Assessment in Blockchains

Towards a design space for blockchain-based system reengineering

Business Value of Process Mining: A Contingency Perspective

Combining blockchain and IoT for safe and transparent nuclear waste management: A prototype implementation

Towards a Maturity Model of Process Mining as an Analytic Capability

Process-Data Quality: The True Frontier of Process Mining

Towards Customer Outcome Management in Smart Manufacturing.

Supporting Impact Analysis of Process-Aware Information System Updates Using Digital Twins of Organizations

Process Mining for Healthcare: Characteristics and Challenges

Assessing and Improving Measurability of Process Performance Indicators based on Quality of Logs 

Seven Paradoxes of Business Process Management in a Hyper-Connected World

A multi-dimensional model of Enterprise Resource Planning Critical Success Factors

TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-based Intrusion Detection System

Evaluating the effect of best practices for business process redesign: an evidence-based approach based on process mining techniques

TSE-IDS: A two-stage classifier ensemble for intelligent anomaly-based intrusion detection system

Process mining for healthcare: Characteristics and challenges

How organisations leverage Big Data: a maturity model

Paws: A framework for executing adaptive web-service processes

A survey on service quality description

Establishing and monitoring SLAs in complex service based systems

Seven Paradoxes of Business Process Management in a Hyper-Connected World: D. Beverungen et al.

A framework for QoS-based Web service contracting

Combining Apriori heuristic and bio-inspired algorithms for solving the frequent itemsets mining problem

Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniques

An architecture for flexible web service QoS negotiation

Autoencoders for improving quality of process event logs

A multi-dimensional model of Enterprise Resource Planning critical success factors

Lifelong personal health data and application software via virtual machines in the cloud

A framework for multi-level sla management

A Systematic Review of Anomaly Detection for Business Process Event Logs: J. Ko, M. Comuzzi

Context management for adaptive information systems

Impact analysis of ERP post-implementation modifications: Design, tool support and evaluation

Process-aware Artificial Intelligence Lab

교수님 소개

마르코 코무치

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Explaining the impact of design choices on model quality in predictive process monitoring

Explainable predictive process monitoring: a user evaluation

Predictive process monitoring: concepts, challenges, and future research directions

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

마르코 코무치

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Explaining the impact of design choices on model quality in predictive process monitoring

Explainable predictive process monitoring: a user evaluation

Predictive process monitoring: concepts, challenges, and future research directions

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집