Control-flow discovery from event streams

No abstract is available for this paper.

• Publication year

  2014

• Venue

  IEEE Congress on Evolutionary Computation

• Publication date

  2014-07-06

• Fields of study

  Business, Computer Science

• Identifiers
  DOI 10.1109/CEC.2014.6900341
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• XES - standard definition

  2014cited by this paper
• A Lossy Counting Based Approach for Learning on Streams of Graphs on a Budget

  2013cited by this paper
• Online Process Discovery to Detect Concept Drifts in LTL-Based Declarative Process Models

  2013cited by this paper
• Process mining in the large : preprocessing, discovery, and diagnostics

  2012cited by this paper
• Approximate Frequency Counts over Data Streams

  2012cited by this paper
• Process mining: making knowledge discovery process centric

  2012cited by this paper
• Replaying history on process models for conformance checking and performance analysis

  2012cited by this paper
• A Business Process Metric Based on the Alpha Algorithm Relations

  2011cited by this paper
• Process Mining: Discovery, Conformance and Enhancement of Business Processes

  2011influential reference
• Big data: The next frontier for innovation, competition, and productivity

  2011cited by this paper
• Conformance Checking Using Cost-Based Fitness Analysis

  2011cited by this paper
• Causal Nets: A Modeling Language Tailored towards Process Discovery

  2011cited by this paper
• Handling Concept Drift in Process Mining

  2011cited by this paper
• ProM 6: The Process Mining Toolkit

  2010cited by this paper
• Incremental Process Mining

  2010cited by this paper
• Process Discovery: Capturing the Invisible

  2010cited by this paper
• An Incremental Process Mining Approach to Extract Knowledge from Legacy Systems

  2010cited by this paper
• PLG: A Framework for the Generation of Business Process Models and Their Execution Logs

  2010cited by this paper
• MOA: Massive Online Analysis

  2010cited by this paper
• A Fresh Look at Precision in Process Conformance

  2010cited by this paper
• ProM: The Process Mining Toolkit

  2009cited by this paper
• StreamKrimp: Detecting Change in Data Streams

  2008cited by this paper
• Knowledge discovery from data streams

  2008cited by this paper
• Supporting proces mining by showing events at a glance

  2007cited by this paper
• Data Streams: Models and Algorithms (Advances in Database Systems)

  2006cited by this paper
• Incremental Workflow Mining for Process Flexibility

  2006cited by this paper
• Workflow control-flow patterns : a revised view

  2006cited by this paper
• Mining data streams: a review

  2005cited by this paper
• Incremental Workflow Mining Based on Document Versioning Information

  2005cited by this paper
• YAWL: yet another workflow language

  2005cited by this paper
• Rediscovering workflow models from event-based data using little thumb

  2003influential reference
• Issues in data stream management

  2003cited by this paper
• Process Miner - A Tool for Mining Process Schemes from Event-Based Data

  2002cited by this paper
• On the discovery of process models from their instances

  2002cited by this paper
• Discovering Work ow Performance Models from Timed Logs

  2002cited by this paper
• A Machine Learning Approach to Workflow Management

  2000cited by this paper
• Mining Process Models from Workflow Logs

  1998cited by this paper
• Process discovery and validation through event-data analysis

  1996cited by this paper
• Learning in the Presence of Concept Drift and Hidden Contexts

  1996cited by this paper
• Petri nets: Properties, analysis and applications

  1989influential reference
• Probability inequalities for sum of bounded random variables

  1963cited by this paper

• Continuous software monitoring backed by process mining: a systematic literature review

  2026cites this paper
• Online Discovery of Simulation Models for Evolving Business Processes (Extended Version)

  2025cites this paper
• Segmentation and Process Assignment of Semi-Structured Event Logs

  2025cites this paper
• Determining Window Sizes Using Species Estimation for Accurate Process Mining over Streams

  2025cites this paper
• AVOCADO: The Streaming Process Mining Challenge

  2025cites this paper
• A Review of Process Discovery Methods and Conformance Checking Methods

  2024cites this paper
• Discovering Implicit Operational Knowledge by Identifying Business Processes that Involve Multiple Organizational Entities

  2024cites this paper
• EdgeMiner: Distributed Process Mining at the Data Sources

  2024cites this paper
• AIMED: An automatic and incremental approach for business process model repair under concept drift

  2023cites this paper
• Beamline: A comprehensive toolkit for research and development of streaming process mining

  2023cites this paper
• Evaluation Goals for Online Process Mining: a Concept Drift Perspective

  2022cites this paper
• Clustering-based Aggregations for Prediction in Event Streams

  2022cites this paper
• Continuous discovery of Causal nets for non-stationary business processes using the Online Miner

  2022cites this paper
• Complex Event Processing Methods for Process Querying

  2022cites this paper
• Change-point visualization and variation analysis in a simple production line: a process mining application in manufacturing

  2021cites this paper
• ZU Scholars ZU Scholars

  2021cites this paper
• A Survey on Concept Drift in Process Mining

  2021cites this paper
• Prefix Imputation of Orphan Events in Event Stream Processing

  2021cites this paper
• Data-driven Improvement of Online Conformance Checking

  2020cites this paper
• The CDESF Toolkit: An Introduction

  2020cites this paper
• Streaming Process Discovery Method for Semi-Structured Business Processes

  2020cites this paper
• Towards Online Discovery of Data-Aware Declarative Process Models from Event Streams

  2020cites this paper
• Analyzing Process Concept Drifts Based on Sensor Event Streams During Runtime

  2020cites this paper
• Temporal Conformance Checking at Runtime based on Time-infused Process Models

  2020cites this paper
• Evaluating IoT service composition mechanisms for the scalability of IoT systems

  2020cites this paper
• Predicting Business Process Bottlenecks In Online Events Streams Under Concept Drifts

  2020cites this paper
• Scalable Online Conformance Checking Using Incremental Prefix-Alignment Computation

  2020cites this paper
• Detection and removal of infrequent behavior from event streams of business processes

  2020cites this paper
• Process Mining over Unordered Event Streams

  2020cites this paper
• Concept Drift Detection Of Event Streams Using An Adaptive Window

  2019influential citation
• Leveraging Anomaly Detection in Business Process with Data Stream Mining

  2019cites this paper
• Process mining with streaming data

  2019influential citation
• Streaming Process Discovery and Conformance Checking

  2019cites this paper
• Identifying and Understanding Stakeholders using Process Mining: Case Study on Discovering Business Processes that Involve Organizational Entities

  2019cites this paper
• Latent Process Discovery Using Evolving Tokenized Transducer

  2019cites this paper
• Scalable and distributed architecture based on Apache Spark Streaming and PROM6 for processing RoRo terminals logs

  2019cites this paper
• Repairing Alignments of Process Models

  2019cites this paper
• Business process drift: Detection and characterization

  2019cites this paper
• On the application of sequential pattern mining primitives to process discovery: Overview, outlook and opportunity identification

  2019influential citation
• Overlapping Analytic Stages in Online Process Mining

  2019cites this paper
• Filtering Spurious Events from Event Streams of Business Processes

  2018cites this paper
• Discovering process maps from event streams

  2018influential citation
• A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream

  2018cites this paper
• How Much Event Data Is Enough? A Statistical Framework for Process Discovery

  2018cites this paper
• Process Discovery from Low-Level Event Logs

  2018cites this paper
• Online Conformance Checking Using Behavioural Patterns

  2018cites this paper
• Analysis and Classification of Service Interactions for the Scalability of the Internet of Things

  2018cites this paper
• Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap

  2018cites this paper
• TESSERACT: Time-Drifts in Event Streams Using Series of Evolving Rolling Averages of Completion Times

  2017cites this paper
• Fodina: A robust and flexible heuristic process discovery technique

  2017cites this paper
• Incremental Discovery of Process Maps

  2017influential citation
• Online conformance checking: relating event streams to process models using prefix-alignments

  2017cites this paper
• A Framework for Online Conformance Checking

  2017cites this paper
• Event stream-based process discovery using abstract representations

  2017cites this paper
• Robust Process Mining with Guarantees

  2017cites this paper
• Detecting Sudden and Gradual Drifts in Business Processes from Execution Traces

  2017cites this paper
• Discovery of Cooperative Structures in Business Processes

  2016cites this paper
• Process Mining: On the Fly Process Discovery

  2016cites this paper
• Discovering Local Concurrency Relations in Business Process Event Logs

  2016cites this paper
• Detecting Drift from Event Streams of Unpredictable Business Processes

  2016cites this paper
• Detecting Sudden and Gradual Drifts in Business Processes Based on Event Logs

  2016cites this paper
• RT-PLG: Real Time Process Log Generator

  2016cites this paper
• Online Discovery of Cooperative Structures in Business Processes

  2016cites this paper
• Multiperspective Processes Randomization and Simulation for Online and Offline Settings : PLG 2 and Open Challenges

  2016cites this paper
• Green Data Science - Using Big Data in an "Environmentally Friendly" Manner

  2016cites this paper
• Process Discovery from Event Stream Data in the Cloud - A Scalable, Distributed Implementation of the Flexible Heuristics Miner on the Amazon Kinesis Cloud Infrastructure

  2016cites this paper
• PLG2: Multiperspective Process Randomization with Online and Offline Simulations

  2016cites this paper
• Interconnecting processes through IoT in a health-care scenario

  2016cites this paper
• Process mining for recommender strategies support in news media

  2016cites this paper
• Process Mining

  2016cites this paper
• Scalable process discovery and conformance checking

  2016cites this paper
• Responsible Data Science: Using Event Data in a "People Friendly" Manner

  2016cites this paper
• PLG2: Multiperspective Processes Randomization and Simulation for Online and Offline Settings

  2015cites this paper
• Efficient Process Discovery From Event Streams Using Sequential Pattern Mining

  2015influential citation
• Scalable Process Discovery with Guarantees

  2015cites this paper
• Online Discovery of Declarative Process Models from Event Streams

  2015cites this paper
• Relational XES: Data Management for Process Mining

  2015cites this paper
• Fast and Accurate Business Process Drift Detection

  2015cites this paper
• Handling Big(ger) Logs: Connecting ProM 6 to Apache Hadoop

  2015cites this paper
• Process modeling and bottleneck mining in online peer-review systems

  2015cites this paper
• Conformance Checking Based on Partially Ordered Event Data

  2014cites this paper
• Scalable Dynamic Business Process Discovery with the Constructs Competition Miner

  2014cites this paper
• Data Streams in ProM 6: A Single-node Architecture

  2014cites this paper
• Lights, Camera, Action! Business Process Movies for Online Process Discovery

  2014cites this paper
• Desire Lines in Big Data

  2014cites this paper
• Process Cubes: Slicing, Dicing, Rolling Up and Drilling Down Event Data for Process Mining

  2013cites this paper
• VESPA: Visual Event-Stream Progressive Analytics

  year unknowncites this paper