Algorithms for clustering data
Algorithms for clustering data
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
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
Approximate inference of functional dependencies from relations
ICDT '92 Selected papers of the fourth international conference on Database theory
Tracking join and self-join sizes in limited storage
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Reasoning about nested functional dependencies
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Interestingness via what is not interesting
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Algorithms for association rule mining — a general survey and comparison
ACM SIGKDD Explorations Newsletter
Workflow management: models, methods, and systems
Workflow management: models, methods, and systems
Mining database structure; or, how to build a data quality browser
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Introduction to Algorithms
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
Towards the Reverse Engineering of Denormalized Relational Databases
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
An Interval Classifier for Database Mining Applications
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis
INFORMS Journal on Computing
Computers in Industry - Special issue: Process/workflow mining
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
A survey of interestingness measures for knowledge discovery
The Knowledge Engineering Review
Web services navigator: visualizing the execution of web services
IBM Systems Journal
Representing, analysing and managing web service protocols
Data & Knowledge Engineering - Special issue: ER 2004
GORDIAN: efficient and scalable discovery of composite keys
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Duplicate Record Detection: A Survey
IEEE Transactions on Knowledge and Data Engineering
Query-based monitoring of BPEL business processes
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
A generic solution for warehousing business process data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
ICSR '08 Proceedings of the 10th international conference on Software Reuse: High Confidence Software Reuse in Large Systems
Process spaceship: discovering and exploring process views from event logs in data spaces
Proceedings of the VLDB Endowment
Deriving Protocol Models from Imperfect Service Conversation Logs
IEEE Transactions on Knowledge and Data Engineering
Process View Derivation and Composition in a Dynamic Collaboration Environment
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Correlation patterns in service-oriented architectures
FASE'07 Proceedings of the 10th international conference on Fundamental approaches to software engineering
Business process management: a survey
BPM'03 Proceedings of the 2003 international conference on Business process management
View-based process visualization
BPM'07 Proceedings of the 5th international conference on Business process management
Web Services: Concepts, Architectures and Applications
Web Services: Concepts, Architectures and Applications
A query language for analyzing business processes execution
BPM'11 Proceedings of the 9th international conference on Business process management
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Mining the execution history of a software system to infer the best time for its adaptation
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
Using mapreduce to scale events correlation discovery for business processes mining
BPM'12 Proceedings of the 10th international conference on Business Process Management
A framework and a language for on-line analytical processing on graphs
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Semantic-based transaction model for web service
Information Systems Frontiers
Start time and duration distribution estimation in semi-structured processes
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Challenges in service mining: record, check, discover
ICWE'13 Proceedings of the 13th international conference on Web Engineering
Business process mining from e-commerce web logs
BPM'13 Proceedings of the 11th international conference on Business Process Management
Enhancing declare maps based on event correlations
BPM'13 Proceedings of the 11th international conference on Business Process Management
International Journal of Web Services Research
Efficient recovery of missing events
Proceedings of the VLDB Endowment
Monitoring business constraints with the event calculus
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
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Understanding, analyzing, and ultimately improving business processes is a goal of enterprises today. These tasks are challenging as business processes in modern enterprises are implemented over several applications and Web services, and the information about process execution is scattered across several data sources. Understanding modern business processes entails identifying the correlation between events in data sources in the context of business processes (event correlation is the process of finding relationships between events that belong to the same process execution instance). In this paper, we investigate the problem of event correlation for business processes that are realized through the interactions of a set of Web services. We identify various ways in which process-related events could be correlated as well as investigate the problem of discovering event correlation (semi-) automatically from service interaction logs. We introduce the concept of process view to represent the process resulting from a certain way of event correlation and that of process space referring to the set of possible process views over process events. Event correlation is a challenging problem as there are various ways in which process events could be correlated, and in many cases, it is subjective. Exploring all the possibilities of correlations is computationally expensive, and only some of the correlated event sets result in process views that are interesting. We propose efficient algorithms and heuristics to identify correlated event sets that lead potentially to interesting process views. To account for its subjectivity, we have designed the event correlation discovery process to be interactive and enable users to guide it toward process views of their interest and organize the discovered process views into a process map that allows users to effectively navigate through the process space and identify the ones of interest. We report on experiments performed on both synthetic and real-world datasets that show the viability and efficiency of the approach.