Computers, Materials & Continua2026，Vol.86Issue(1)：P.1086-1118,33.DOI:10.32604/cmc.2025.067706
DriftXMiner: A Resilient Process Intelligence Approach for Safe and Transparent Detection of Incremental Concept Drift in Process Mining
Puneetha B.H 1Manoj Kumar M.V 2Prashanth B.S. 2Piyush Kumar Pareek3
作者信息
- 1. Department of Computer Science and Business Systems,Bapuji Institute of Engineering and Technology,Davangere-577004,Affiliated to Visvesvaraya Technological University,Belagavi,Karnataka,590018,India
- 2. Department of Information Science and Engineering,Nitte Meenakshi Institute of Technology(NMIT),Nitte(Deemed to be University),Banglore-560064,Affiliated to Visvesvaraya Technological University,Belagavi,Karnataka,590018,India
- 3. Department of Artificial Intelligence&Machine Learning,Nitte Meenakshi Institute of Technology(NMIT),Nitte(Deemed to be University),Banglore-560064,Affiliated to Visvesvaraya Technological University,Belagavi,Karnataka,590018,India
- 折叠
摘要
关键词
Process mining/concept drift/gradual drift/incremental drift/clustering/ensemble techniques/process model/event log分类
信息技术与安全科学引用本文复制引用
Puneetha B.H,Manoj Kumar M.V,Prashanth B.S.,Piyush Kumar Pareek..DriftXMiner: A Resilient Process Intelligence Approach for Safe and Transparent Detection of Incremental Concept Drift in Process Mining[J].Computers, Materials & Continua,2026,86(1):P.1086-1118,33.
