Transformations and decompositions of nets
Advances in Petri nets 1986, part I on Petri nets: central models and their properties
An overview of workflow management: from process modeling to workflow automation infrastructure
Distributed and Parallel Databases - Special issue on software support for work flow management
Quantitative models of cohesion and coupling in software
Selected papers of the sixth annual Oregon workshop on Software metrics
Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Software process validation: quantitatively measuring the correspondence of a process to a model
ACM Transactions on Software Engineering and Methodology (TOSEM)
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
SIAM Journal on Scientific Computing
Principles of data mining
Machine Learning
Parallel Mining of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Distributed and Parallel Databases
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Computers in Industry - Special issue: Process/workflow mining
Modular Analysis of Systems Composed of Semiautonomous Subsystems
ACSD '04 Proceedings of the Fourth International Conference on Application of Concurrency to System Design
A Comprehensive and Automated Approach to Intelligent Business Processes Execution Analysis
Distributed and Parallel Databases
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Improved approximation algorithms for minimum-weight vertex separators
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Genetic process mining: an experimental evaluation
Data Mining and Knowledge Discovery
Rediscovering workflow models from event-based data using little thumb
Integrated Computer-Aided Engineering
Conformance checking of processes based on monitoring real behavior
Information Systems
Business Process Management: Concepts, Languages, Architectures
Business Process Management: Concepts, Languages, Architectures
A Region-Based Algorithm for Discovering Petri Nets from Event Logs
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Log-based transactional workflow mining
Distributed and Parallel Databases
Using minimum description length for process mining
Proceedings of the 2009 ACM symposium on Applied Computing
The refined process structure tree
Data & Knowledge Engineering
Robust Process Discovery with Artificial Negative Events
The Journal of Machine Learning Research
Divide-and-Conquer Strategies for Process Mining
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Process Discovery using Integer Linear Programming
Fundamenta Informaticae - Petri Nets 2008
Fuzzy mining: adaptive process simplification based on multi-perspective metrics
BPM'07 Proceedings of the 5th international conference on Business process management
Process mining based on regions of languages
BPM'07 Proceedings of the 5th international conference on Business process management
A fresh look at precision in process conformance
BPM'10 Proceedings of the 8th international conference on Business process management
Process mining meets abstract interpretation
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Simplified computation and generalization of the refined process structure tree
WS-FM'10 Proceedings of the 7th international conference on Web services and formal methods
Conformance checking of interacting processes with overlapping instances
BPM'11 Proceedings of the 9th international conference on Business process management
Cost-Based Fitness in Conformance Checking
ACSD '11 Proceedings of the 2011 Eleventh International Conference on Application of Concurrency to System Design
Conformance Checking Using Cost-Based Fitness Analysis
EDOC '11 Proceedings of the 2011 IEEE 15th International Enterprise Distributed Object Computing Conference
BPM'06 Proceedings of the 4th international conference on Business Process Management
SBV-Cut: Vertex-cut based graph partitioning using structural balance vertices
Data & Knowledge Engineering
Process mining from a basis of state regions
PETRI NETS'10 Proceedings of the 31st international conference on Applications and Theory of Petri Nets
A new landscape for distributed and parallel data management
Distributed and Parallel Databases
Distributed data mining on grids: services, tools, and applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Towards distributed verification of petri nets properties
VECoS'07 Proceedings of the First international conference on Verification and Evaluation of Computer and Communication Systems
Distributed process discovery and conformance checking
FASE'12 Proceedings of the 15th international conference on Fundamental Approaches to Software Engineering
Replaying history on process models for conformance checking and performance analysis
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Decomposing process mining problems using passages
PETRI NETS'12 Proceedings of the 33rd international conference on Application and Theory of Petri Nets
Using mapreduce to scale events correlation discovery for business processes mining
BPM'12 Proceedings of the 10th international conference on Business Process Management
Hierarchical conformance checking of process models based on event logs
PETRI NETS'13 Proceedings of the 34th international conference on Application and Theory of Petri Nets and Concurrency
Process Discovery and Conformance Checking Using Passages
Fundamenta Informaticae - Application and Theory of Petri Nets and Concurrency, 2012
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The practical relevance of process mining is increasing as more and more event data become available. Process mining techniques aim to discover, monitor and improve real processes by extracting knowledge from event logs. The two most prominent process mining tasks are: (i) process discovery: learning a process model from example behavior recorded in an event log, and (ii) conformance checking: diagnosing and quantifying discrepancies between observed behavior and modeled behavior. The increasing volume of event data provides both opportunities and challenges for process mining. Existing process mining techniques have problems dealing with large event logs referring to many different activities. Therefore, we propose a generic approach to decompose process mining problems. The decomposition approach is generic and can be combined with different existing process discovery and conformance checking techniques. It is possible to split computationally challenging process mining problems into many smaller problems that can be analyzed easily and whose results can be combined into solutions for the original problems.