C4.5: programs for machine learning
C4.5: programs for machine learning
Knowledge-based artificial neural networks
Artificial Intelligence
Machine Learning
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
A multistrategy approach to classification learning in databases
Data & Knowledge Engineering
MultiBoosting: A Technique for Combining Boosting and Wagging
Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Workflow management with service quality guarantees
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Business Process Management: The Third Wave
Business Process Management: The Third Wave
Processes Driving the Networked Economy
IEEE Concurrency
Operational Profiles in Software-Reliability Engineering
IEEE Software
Exception Handling for Conflict Resolution in Cross-Organizational Workflows
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
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Using Simulation to Facilitate Effective Workflow Adaptation
SS '02 Proceedings of the 35th Annual Simulation Symposium
Semantic E-Workflow Composition
Journal of Intelligent Information Systems
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Computers in Industry - Special issue: Process/workflow mining
XML-based modeling and simulation: web service technologies and their synergy with simulation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Software Reliability Engineering: More Reliable Software Faster and Cheaper
Software Reliability Engineering: More Reliable Software Faster and Cheaper
Improved medical decision support with multimethod approach
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
An Adaptable Method of E-Workflow Composition Based on Distributed Awareness
APNOMS '08 Proceedings of the 11th Asia-Pacific Symposium on Network Operations and Management: Challenges for Next Generation Network Operations and Service Management
Translating shared state based ebXML BPSS models to WS-BPEL
International Journal of Business Intelligence and Data Mining
Mining group-based knowledge flows for sharing task knowledge
Decision Support Systems
WebUser: mining unexpected web usage
International Journal of Business Intelligence and Data Mining
On mining clinical pathway patterns from medical behaviors
Artificial Intelligence in Medicine
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Workflow Management Systems (WfMS) provide a fundamental technological infrastructure to define and manage business processes efficiently. WfMS logs contain valuable data that can be used to discover and extract knowledge about the execution of workflows and processes. One piece of important and useful information that can be discovered is related to the prediction of the path that will be followed during the execution of a workflow. We call this type of discovery, path mining. In this paper, we present and describe how path mining can be achieved using different data mining techniques including the Multimethod approach.