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Mining Constrained Graphs: The Case of Workflow Systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/1099-1174(200006)9:2<67::aid-isaf186>3.0.co;2-7openalex-snapshot
Integrating machine learning and workflow management to support acquisition and adaptation of workflow models
inferredcites →https://doi.org/10.1007/3-540-36175-8_21openalex-snapshot
Mining Frequent Instances on Workflows
inferredcites →https://doi.org/10.1007/3-540-44794-6openalex-snapshot
Principles of Data Mining and Knowledge Discovery
inferredcites →https://doi.org/10.1007/3-540-44895-0_3openalex-snapshot
Mining Most Specific Workflow Models from Event-Based Data
inferredcites →https://doi.org/10.1007/3-540-45372-5_2openalex-snapshot
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
inferredcites →https://doi.org/10.1007/3-540-45785-2openalex-snapshot
Engineering and Deployment of Cooperative Information Systems
inferredcites →https://doi.org/10.1007/3-540-45785-2_4openalex-snapshot
Discovering Workflow Performance Models from Timed Logs
inferredcites →https://doi.org/10.1007/978-3-540-24775-3_8openalex-snapshot
Mining Expressive Process Models by Clustering Workflow Traces
inferredcites →https://doi.org/10.1007/bf00872095openalex-snapshot
Graph-based induction as a unified learning framework
inferredcites →https://doi.org/10.1007/bf01277643openalex-snapshot
An overview of workflow management: From process modeling to workflow automation infrastructure
inferredcites →https://doi.org/10.1007/bfb0100972openalex-snapshot
Advances in Database Technology — EDBT'98
inferredcites →https://doi.org/10.1007/bfb0101003openalex-snapshot
Mining process models from workflow logs
inferredcites →https://doi.org/10.1016/s0169-023x(03)00066-1openalex-snapshot
Workflow mining: A survey of issues and approaches
inferredcites →https://doi.org/10.1023/a:1009863704807openalex-snapshot
Discovery of frequent DATALOG patterns
inferredcites →https://doi.org/10.1109/64.539013openalex-snapshot
Data mining and knowledge discovery: making sense out of data
inferredcites →https://doi.org/10.1109/icdm.2001.989550openalex-snapshot
H-mine: hyper-structure mining of frequent patterns in large databases
inferredcites →https://doi.org/10.1109/icdm.2002.1184038openalex-snapshot
gSpan: graph-based substructure pattern mining
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.2005.63openalex-snapshot
Mining and reasoning on workflows
inferredcites →https://doi.org/10.1145/225014.225021openalex-snapshot
Automating process discovery through event-data analysis
inferredcites →https://doi.org/10.1145/234313.234368openalex-snapshot
Distributed and Parallel Database Systems
inferredcites →https://doi.org/10.1145/288195.288214openalex-snapshot
Event-based detection of concurrency
inferredcites →https://doi.org/10.1145/291252.288214openalex-snapshot
Event-based detection of concurrency
inferredcites →https://doi.org/10.1145/312129.312275openalex-snapshot
Mining features for sequence classification
inferredcites →https://doi.org/10.1145/335191.335372openalex-snapshot
Mining frequent patterns without candidate generation
inferredcites →https://doi.org/10.1613/jair.43openalex-snapshot
Substructure Discovery Using Minimum Description Length and Background Knowledge
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-61893-7_19openalex-snapshot
Relational Data Mining in the Era of Big Data
inferred← citeshttps://doi.org/10.1007/978-3-319-65000-5_19openalex-snapshot
Discovering Infrequent Behavioral Patterns in Process Models
inferred← citeshttps://doi.org/10.1007/978-3-319-91268-4_20openalex-snapshot
LocalProcessModelDiscovery: Bringing Petri Nets to the Pattern Mining World
inferred← citeshttps://doi.org/10.1007/978-981-99-2356-4_21openalex-snapshot
Towards Using Local Process Mining to Analyse Learning Behavior Pattern
inferred← citeshttps://doi.org/10.1017/s0269888912000331openalex-snapshot
A survey of frequent subgraph mining algorithms
inferred← citeshttps://doi.org/10.1145/1835804.1835883openalex-snapshot
Mining program workflow from interleaved traces
inferred← citeshttps://doi.org/10.31390/gradschool_dissertations.2034openalex-snapshot
Pattern Mining and Events Discovery in Molecular Dynamics Simulations Data
inferred← citeshttps://doi.org/10.48550/arxiv.1909.01421openalex-snapshot
Mining Insights from Weakly-Structured Event Data
inferred← citeshttps://doi.org/10.48550/arxiv.2101.11972openalex-snapshot
PSpan:Mining Frequent Subnets of Petri Nets
inferred← citeshttps://doi.org/10.5204/thesis.eprints.103533openalex-snapshot
A stage-based model for enabling decision support in process mining
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