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Active Trace Clustering for Improved Process Discovery
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-75183-0_24openalex-snapshot
Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics
inferredcites →https://doi.org/10.1007/978-3-540-75183-0_26openalex-snapshot
Approaching Process Mining with Sequence Clustering: Experiments and Findings
inferredcites →https://doi.org/10.1007/978-3-642-00328-8_11openalex-snapshot
Trace Clustering in Process Mining
inferredcites →https://doi.org/10.1007/978-3-642-03848-8_12openalex-snapshot
Abstractions in Process Mining: A Taxonomy of Patterns
inferredcites →https://doi.org/10.1007/978-3-642-12186-9_10openalex-snapshot
Understanding Spaghetti Models with Sequence Clustering for ProM
inferredcites →https://doi.org/10.1007/978-3-642-12186-9_16openalex-snapshot
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
inferredcites →https://doi.org/10.1007/978-3-642-19345-3openalex-snapshot
Process Mining: Discovery, Conformance and Enhancement of Business Processes
inferredcites →https://doi.org/10.1007/978-3-642-20511-8_14openalex-snapshot
A Critical Evaluation Study of Model-Log Metrics in Process Discovery
inferredcites →https://doi.org/10.1016/j.asoc.2010.04.025openalex-snapshot
Process discovery in event logs: An application in the telecom industry
inferredcites →https://doi.org/10.1016/j.datak.2011.07.002openalex-snapshot
Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction
inferredcites →https://doi.org/10.1016/j.dss.2008.07.002openalex-snapshot
Towards comprehensive support for organizational mining
inferredcites →https://doi.org/10.1016/j.infsof.2008.08.005openalex-snapshot
Complexity metrics for Workflow nets
inferredcites →https://doi.org/10.1016/j.infsof.2009.08.004openalex-snapshot
Seven process modeling guidelines (7PMG)
inferredcites →https://doi.org/10.1016/j.is.2007.07.001openalex-snapshot
Conformance checking of processes based on monitoring real behavior
inferredcites →https://doi.org/10.1016/j.is.2012.02.004openalex-snapshot
A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs
inferredcites →https://doi.org/10.1023/a:1022673506211openalex-snapshot
Improving Generalization with Active Learning
inferredcites →https://doi.org/10.1023/a:1024992613384openalex-snapshot
Model-Based Clustering and Visualization of Navigation Patterns on a Web Site
inferredcites →https://doi.org/10.1109/5.24143openalex-snapshot
Petri nets: Properties, analysis and applications
inferredcites →https://doi.org/10.1109/cidm.2011.5949428openalex-snapshot
A robust F-measure for evaluating discovered process models
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.2008.131openalex-snapshot
Decompositional Rule Extraction from Support Vector Machines by Active Learning
inferredcites →https://doi.org/10.1109/tkde.2011.192openalex-snapshot
Region-Based Foldings in Process Discovery
inferredcites →https://doi.org/10.1137/1.9781611972795.35openalex-snapshot
Context Aware Trace Clustering: Towards Improving Process Mining Results
inferredcites →https://doi.org/10.3233/ica-2003-10205openalex-snapshot
Rediscovering workflow models from event-based data using little thumb
inferredcites →https://doi.org/10.5555/1577069.1577113openalex-snapshot
Robust Process Discovery with Artificial Negative Events
inferredcites →https://doi.org/10.6100/ir644335openalex-snapshot
Process mining in flexible environments
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Mini-Process Cubes: Enabling Real-Time Analysis and Process Discovery in Stream Process Mining
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Change Detection in Event Logs by Clustering
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Applying Sequence Mining for Outlier Detection in Process Mining
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Understanding Automated Feedback in Learning Processes by Mining Local Patterns
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Generalized Alignment-Based Trace Clustering of Process Behavior
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Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence Patterns
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Model-Aware Clustering of Non-conforming Traces
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Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs
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Visualizing Business Process Evolution
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Cherry-Picking from Spaghetti: Multi-range Filtering of Event Logs
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Identifying Cohorts: Recommending Drill-Downs Based on Differences in Behaviour for Process Mining
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Process Discovery Method in Dynamic Manufacturing and Logistics Environments
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Prototype Selection Using Clustering and Conformance Metrics for Process Discovery
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A Generic Framework for Attribute-Driven Hierarchical Trace Clustering
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Process Model Discovery from Sensor Event Data
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On Inferring a Meaningful Similarity Metric for Customer Behaviour
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An Event-Level Clustering Framework for Process Mining Using Common Sequential Rules
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Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum
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Selecting Optimal Trace Clustering Pipelines with Meta-learning
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Assessing the Suitability of Traditional Event Log Standards for IoT-Enhanced Event Logs
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Explorative Process Discovery Using Activity Projections
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Comparing Trace Similarity Metrics Across Logs and Evaluation Measures
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Trace Clustering Based on Activity Profile for Process Discovery in Education
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TCTV: Trace Clustering Considering Intra- and Inter-cluster Similarity Based on Trace Variants
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Process Variant Analysis Across Continuous Features: A Novel Framework
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NICE: The Native IoT-Centric Event Log Format for Process Mining
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TRACE4PM: Trace Related Analysis and ClustEring for Process Modeling of Users’ Interactions in Information Systems
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Bridging the Interpretability Gap in Process Mining: A Comprehensive Approach Combining Explainable Clustering and Generative AI
inferred← citeshttps://doi.org/10.1007/978-3-032-15538-2_2openalex-snapshot
Discriminative Rule Learning for Outcome-Guided Process Model Discovery
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Bridging the Granularity Gap: From Fine-Grained Events to Coarse-Grained Process Models
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SECPI: Searching for Explanations for Clustered Process Instances
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Mining Multi-variant Process Models from Low-Level Logs
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A Novel Top-Down Approach for Clustering Traces
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Discovering Characteristics that Affect Process Control Flow
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Detecting Deviating Behaviors Without Models
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Clustering Traces Using Sequence Alignment
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A Trace Clustering Solution Based on Using the Distance Graph Model
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A Recursive Paradigm for Aligning Observed Behavior of Large Structured Process Models
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Handling Duplicated Tasks in Process Discovery by Refining Event Labels
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A Novel Heuristic Method for Improving the Fitness of Mined Business Process Models
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Behavioral Classification of Business Process Executions at Runtime
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Multi-objective Trace Clustering: Finding More Balanced Solutions
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An Approach for Incorporating Expert Knowledge in Trace Clustering
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Data-Driven Process Simulation
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Data-Driven Process Simulation
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Decomposed Process Discovery and Conformance Checking
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Discovering Infrequent Behavioral Patterns in Process Models
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Compound Trace Clustering to Generate Accurate and Simple Sub-Process Models
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Alignment-Based Trace Clustering
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Dropout Prediction in MOOCs: A Comparison Between Process and Sequence Mining
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A Novel Trace Clustering Technique Based on Constrained Trace Alignment
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Data-Driven Process Simulation
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Decomposed Process Discovery and Conformance Checking
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Fusion-Based Process Discovery
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Finding Structure in the Unstructured: Hybrid Feature Set Clustering for Process Discovery
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act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes
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A New Trace Clustering Algorithm Based on Context in Process Mining
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Similarity-Based Approaches for Determining the Number of Trace Clusters in Process Discovery
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A repairing missing activities approach with succession relation for event logs
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Expert-driven trace clustering with instance-level constraints
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Guided Interaction Exploration and Performance Analysis in Artifact-Centric Process Models
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Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support
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Rule-guided process discovery
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Profile-Based Cluster Evolution Analysis: Identification of Migration Patterns for Understanding Student Learning Behavior
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Process Model Enhancement Through Capturing Important Behaviors and Rating Trace Variants
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Process Mining based Student's Behavioural modeling for Online Assessment
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Guided Interaction Exploration in Artifact-centric Process Models
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Using Domain Knowledge to Assist Process Scenario Discoveries
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Applying Process Mining in a Multilevel Variants Analysis on Collaborative Sales to Cash Activities
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How Business Process Benchmarks Enable Organizations To Improve Performance
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Trace Clustering Techniques for Process Mining
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Scalable Mixed-Paradigm Trace Clustering using Super-Instances
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Inductive Context-aware Process Discovery
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TOAD: Trace Ordering for Anomaly Detection
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A Generic Framework for Trace Clustering in Process Mining
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An Approximate Inductive Miner
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Combining Process Mining with Trace Clustering: Manufacturing Shop Floor Process - An Applied Case
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Deviance-Aware Discovery of High Quality Process Models
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A New Methodology to Bring Out Typical Users Interactions in Digital Libraries
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A Compact Trace Representation Using Deep Neural Networks for Process Mining
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Business process recovery based on system log and information of organizational structure
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Proactive business process mining for end-state prediction using trace features
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Scientific Workflow Protocol Discovery from Public Event Logs in Clouds
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Discovering Structural Errors From Business Process Event Logs
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A Co-Training Strategy for Multiple View Clustering in Process Mining
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Dependence-Based Data-Aware Process Conformance Checking
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Multi-View Trace Clustering Based on Graph Convolutional Networks in Process Mining
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Enhancing Process Discovery by Optimizing Imprecise Sub-Processes
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A non‐compensatory approach for trace clustering
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Deviance-Aware Discovery of High-Quality Process Models
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Mining structured petri nets for the visualization of process behavior
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Opaque service virtualisation
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Local Concurrency Detection in Business Process Event Logs
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Exploring Decomposition for Solving Pattern Mining Problems
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Optimizing Decision Making on Business Processes Using a Combination of Process Mining, Job Shop, and Multivariate Resource Clustering
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Splitting Long Event Sequences Drawn from Cyclic Processes for Discovering Workflow Nets
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Agrupamento interativo aplicado à mineração de processos de negócio
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Trace clustering approach for detection and locatization of concept drift in business processes
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RETRACTED: Analysis the patients’ careflows using process mining
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Applications of Clustering Techniques in Data Mining: A Comparative Study
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Entropy of Parallel Execution and Communication
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Discovering the Effects of Metacognitive Prompts on the Sequential Structure of SRL-Processes Using Process Mining Techniques
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Investigation of Lawsuit Process Duration: A Machine Learning and Process Mining Approach
inferred← citeshttps://doi.org/10.2139/ssrn.7205816openalex-snapshot
FlexSimCase2Vec: Embedding for Process Mining
inferred← citeshttps://doi.org/10.2139/ssrn.7213791openalex-snapshot
FlexSimCase2Vec: Embedding for Process Mining
inferred← citeshttps://doi.org/10.2196/58978openalex-snapshot
Evaluating the Bias in Hospital Data: Automatic Preprocessing of Patient Pathways Algorithm Development and Validation Study
inferred← citeshttps://doi.org/10.22452/mjcs.vol36no3.2openalex-snapshot
A TRACE CLUSTERING FRAMEWORK FOR IMPROVING THE BEHAVIORAL AND STRUCTURAL QUALITY OF PROCESS MODELS IN PROCESS MINING
inferred← citeshttps://doi.org/10.2298/csis200127028sopenalex-snapshot
Improving the performance of process discovery algorithms by instance selection
inferred← citeshttps://doi.org/10.3233/ida-160044openalex-snapshot
A framework for detecting deviations in complex event logs
inferred← citeshttps://doi.org/10.32802/asmscj.2023.1452openalex-snapshot
Exploring Event Data Pre-processing Approaches for Business Process Mining
inferred← citeshttps://doi.org/10.33540/1007openalex-snapshot
A Cross-Organizational Process Mining Framework
inferred← citeshttps://doi.org/10.3390/a13100244openalex-snapshot
Understanding Contrail Business Processes through Hierarchical Clustering: A Multi-Stage Framework
inferred← citeshttps://doi.org/10.3390/a15060180openalex-snapshot
Data Preprocessing Method and API for Mining Processes from Cloud-Based Application Event Logs
inferred← citeshttps://doi.org/10.3390/app112210556openalex-snapshot
Event Log Preprocessing for Process Mining: A Review
inferred← citeshttps://doi.org/10.3390/info17090915openalex-snapshot
From Global to Context-Specific Process Views: A Configurable Process Mining Framework for Hospital Billing Analysis
inferred← citeshttps://doi.org/10.4018/ijdsst.2016010104openalex-snapshot
A Skiing Trace Clustering Model for Injury Risk Assessment
inferred← citeshttps://doi.org/10.48550/arxiv.1510.01421openalex-snapshot
From Network Traces to System Responses: Opaquely Emulating Software Services
inferred← citeshttps://doi.org/10.48550/arxiv.1511.07023openalex-snapshot
Anvaya: An Algorithm and Case-Study on Improving the Goodness of Software Process Models generated by Mining Event-Log Data in Issue Tracking System
inferred← citeshttps://doi.org/10.48550/arxiv.1605.06670openalex-snapshot
Opaque Service Virtualisation: A Practical Tool for Emulating Endpoint Systems
inferred← citeshttps://doi.org/10.48550/arxiv.1905.00983openalex-snapshot
SUMMARIZED: Efficient Framework for Analyzing Multidimensional Process Traces under Edit-distance Constraint
inferred← citeshttps://doi.org/10.48550/arxiv.1912.00736openalex-snapshot
Prototype Selection Based on Clustering and Conformance Metrics for Model Discovery
inferred← citeshttps://doi.org/10.48550/arxiv.2107.10399openalex-snapshot
Quantifying machine learning-induced overdiagnosis in sepsis
inferred← citeshttps://doi.org/10.5204/thesis.eprints.130602openalex-snapshot
Stage-Aware Business Process Mining
inferred← citeshttps://doi.org/10.5220/0005470602060217openalex-snapshot
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-structured Business Processes
inferred← citeshttps://doi.org/10.53070/bbd.1421527openalex-snapshot
Clustering Techniques in Data Mining: A Survey of Methods, Challenges, and Applications
inferred← citeshttps://doi.org/10.5821/dissertation-2117-113683openalex-snapshot
Structure discovery techniques for circuit design and process model visualization
inferred← citeshttps://doi.org/10.5821/dissertation-2117-127494openalex-snapshot
Light methods for conformance checking of business processes
inferred← citeshttps://doi.org/10.5821/dissertation-2117-95574openalex-snapshot
Conformance checking and diagnosis in process mining
inferred← citeshttps://doi.org/10.70675/2f8ae890zae95z4482z9c61z646766324b71openalex-snapshot
Intelligence artificielle pour la modélisation de parcours individuels
inferred← citeshttps://doi.org/10.70675/330bc89az3608z4f1cz8e79z2b4780aba7deopenalex-snapshot
Business process discovery from emails, a first step towards business process management in less structured information systems
inferred← citeshttps://doi.org/10.7250/csimq.2016-9.03openalex-snapshot
Using Data-Driven and Process Mining Techniques for Identifying and Characterizing Problem Gamblers in New Zealand
inferred← citeshttps://doi.org/10.7753/ijsea1009.1001openalex-snapshot
Trace Clustering: A Preprocessing Method to Improve the Performance of Process Discovery
inferred← citeshttps://doi.org/10.9744/jti.20.1.33-48openalex-snapshot
Curriculum Assessment of Higher Educational Institution Using Trace-segmented Clustering
inferred← citeshttps://doi.org/10.9790/0661-16446568openalex-snapshot
An efficient process mining model for Petri Nets in process discovery
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