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A Profile Clustering Based Event Logs Repairing Approach for Process Mining

https://doi.org/10.1109/access.2019.2894905

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Beyond Tasks and Gateways: Discovering BPMN Models with Subprocesses, Boundary Events and Activity Markers

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Discovery of Frequent Episodes in Event Logs

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A Trace Clustering Solution Based on Using the Distance Graph Model

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A Novel Heuristic Method for Improving the Fitness of Mined Business Process Models

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Compound Trace Clustering to Generate Accurate and Simple Sub-Process Models

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A Novel Trace Clustering Technique Based on Constrained Trace Alignment

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Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics

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Application of Process Mining in Healthcare – A Case Study in a Dutch Hospital

inferredcites →https://doi.org/10.1007/978-3-642-00328-8_11openalex-snapshot

Trace Clustering in Process Mining

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Process Mining: Discovery, Conformance and Enhancement of Business Processes

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Repairing Process Models to Reflect Reality

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Discovering Block-Structured Process Models from Event Logs - A Constructive Approach

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The Basic SOM

inferredcites →https://doi.org/10.1007/s10618-006-0061-7openalex-snapshot

Genetic process mining: an experimental evaluation

inferredcites →https://doi.org/10.1007/s10618-007-0065-yopenalex-snapshot

Mining process models with non-free-choice constructs

inferredcites →https://doi.org/10.1007/s10618-016-0488-4openalex-snapshot

Explaining clusterings of process instances

inferredcites →https://doi.org/10.1007/s10844-018-0501-zopenalex-snapshot

Discovering anomalous frequent patterns from partially ordered event logs

inferredcites →https://doi.org/10.1016/j.eswa.2015.10.035openalex-snapshot

A slippery genetic algorithm-based process mining system for achieving better quality assurance in the garment industry

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Business process mining: An industrial application

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Data mining and the impact of missing data

inferredcites →https://doi.org/10.1109/cidm.2011.5949453openalex-snapshot

Flexible Heuristics Miner (FHM)

inferredcites →https://doi.org/10.1109/saci.2014.6840098openalex-snapshot

Applied process mining in software development

inferredcites →https://doi.org/10.1109/tkde.2004.47openalex-snapshot

Workflow mining: discovering process models from event logs

inferredcites →https://doi.org/10.1109/tkde.2006.123openalex-snapshot

Discovering expressive process models by clustering log traces

inferredcites →https://doi.org/10.1109/tkde.2013.64openalex-snapshot

Active Trace Clustering for Improved Process Discovery

inferredcites →https://doi.org/10.1111/itor.12395openalex-snapshot

A non‐compensatory approach for trace clustering

inferredcites →https://doi.org/10.1137/1.9781611972795.35openalex-snapshot

Context Aware Trace Clustering: Towards Improving Process Mining Results

inferredcites →https://doi.org/10.1145/287000.287001openalex-snapshot

Discovering models of software processes from event-based data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Warehousing Process Mining Research Based on Petri Net

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Trace Clustering Based on Activity Profile for Process Discovery in Education

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Automatic Error Correction in Process Mining Timestamp Data Using Genetic Algorithms

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Von der Analyse zur adaptiven Unterstützung beim Lesen

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A repairing missing activities approach with succession relation for event logs

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A probabilistic optimization-based event-correlated log repair method using data constraints

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Context-Based Subvariant Discovery for Process Mining via Machine Learning

inferred← citeshttps://doi.org/10.1016/j.datak.2025.102488openalex-snapshot

Detecting and repairing anomaly patterns in business process event logs

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Machine learning in business process management: A systematic literature review

inferred← citeshttps://doi.org/10.1016/j.is.2025.102548openalex-snapshot

An interpretable deep fusion framework for event log repair

inferred← citeshttps://doi.org/10.1016/j.mex.2024.103127openalex-snapshot

Filling-well: An effective technique to handle incomplete well-log data for lithology classification using machine learning algorithms

inferred← citeshttps://doi.org/10.1080/00051144.2020.1734716openalex-snapshot

Automated simulation and verification of process models discovered by process mining

inferred← citeshttps://doi.org/10.1080/09540091.2023.2194578openalex-snapshot

Discovery of process variants based on trace context tree

inferred← citeshttps://doi.org/10.1108/md-10-2023-1747openalex-snapshot

Concept drift and trace clustering: insights for managers from mining

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Profile-Based Cluster Evolution Analysis: Identification of Migration Patterns for Understanding Student Learning Behavior

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Visualization for enabling human-in-the-loop in trace clustering-based process mining tasks

inferred← citeshttps://doi.org/10.1109/icpm66919.2025.11220719openalex-snapshot

A Reinforcement Learning Framework for Event Log Anomaly Detection and Repair

inferred← citeshttps://doi.org/10.1109/siml65326.2025.11081019openalex-snapshot

Reconstructing Missing Well-Log Data with LightGBM and BiRNN in Oil Fields

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Getting the Data in Shape for Your Process Mining Analysis: An In-Depth Analysis of the Pre-Analysis Stage

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Detecting Interaction Patterns in Educational Collaborative Writing

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Optimizing Decision Making on Business Processes Using a Combination of Process Mining, Job Shop, and Multivariate Resource Clustering

inferred← citeshttps://doi.org/10.14569/ijacsa.2024.01505144openalex-snapshot

Log Clustering-based Method for Repairing Missing Traces with Context Probability Information

inferred← citeshttps://doi.org/10.32802/asmscj.2023.1452openalex-snapshot

Exploring Event Data Pre-processing Approaches for Business Process Mining

inferred← citeshttps://doi.org/10.3390/app112210556openalex-snapshot

Event Log Preprocessing for Process Mining: A Review

inferred← citeshttps://doi.org/10.3390/data5030082openalex-snapshot

Extraction of Missing Tendency Using Decision Tree Learning in Business Process Event Log

inferred← citeshttps://doi.org/10.3390/info13050234openalex-snapshot

A Deep Learning Approach for Repairing Missing Activity Labels in Event Logs for Process Mining

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A Process Tree-Based Incomplete Event Log Repair Approach

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From Global to Context-Specific Process Views: A Configurable Process Mining Framework for Hospital Billing Analysis

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Performance Analysis and Activity Deviation Discovery in Event Log Using Process Mining Tool for Hospital System

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