Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
Journal of Computational and Applied Mathematics
Clustering Validity Assessment: Finding the Optimal Partitioning of a Data Set
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Quality Scheme Assessment in the Clustering Process
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Interoperability among independently evolving web services
Proceedings of the 5th ACM/IFIP/USENIX international conference on Middleware
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Service Pattern Discovery of Web Service Mining in Web Service Registry-Repository
ICEBE '06 Proceedings of the IEEE International Conference on e-Business Engineering
On Synchronizing with Web Service Evolution
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
Automatically Determining Compatibility of Evolving Services
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
Characterization and evaluation of similarity measures for pairs of clusterings
Knowledge and Information Systems
Personalized Web Service Ranking via User Group Combining Association Rule
ICWS '09 Proceedings of the 2009 IEEE International Conference on Web Services
Logging in the Age of Web Services
IEEE Security and Privacy
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Web Service Community Discovery Based on Spectrum Clustering
CIS '09 Proceedings of the 2009 International Conference on Computational Intelligence and Security - Volume 02
Message Correlation and Web Service Protocol Mining from Inaccurate Logs
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
Understanding of Internal Clustering Validation Measures
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
IEEE Software
Event correlation for process discovery from web service interaction logs
The VLDB Journal — The International Journal on Very Large Data Bases
An Empirical Study on Web Service Evolution
ICWS '11 Proceedings of the 2011 IEEE International Conference on Web Services
Service Evolution Management Based on Usage Profile
ICWS '11 Proceedings of the 2011 IEEE International Conference on Web Services
Collaborative Filtering Based Service Ranking Using Invocation Histories
ICWS '11 Proceedings of the 2011 IEEE International Conference on Web Services
IEEE Transactions on Software Engineering
Measuring Change Impact Based on Usage Profiles
ICWS '12 Proceedings of the 2012 IEEE 19th International Conference on Web Services
AWSR: Active Web Service Recommendation Based on Usage History
ICWS '12 Proceedings of the 2012 IEEE 19th International Conference on Web Services
Decision Tree Learning from Incomplete QoS to Bootstrap Service Recommendation
ICWS '12 Proceedings of the 2012 IEEE 19th International Conference on Web Services
A Business Intelligence Approach to Support Decision Making in Service Evolution Management
SCC '12 Proceedings of the 2012 IEEE Ninth International Conference on Services Computing
Automatic Determination of Compatibility in Evolving Services
International Journal of Web Services Research
Effective Service Composition in Large Scale Service Market: An Empirical Evidence Enhanced Approach
International Journal of Web Services Research
A Framework for Web Service Usage Profiles Discovery
ICWS '13 Proceedings of the 2013 IEEE 20th International Conference on Web Services
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As part of web services life-cycle, providers frequently face decision about changes without a clear understanding of the impact on their clients. The identification of clients' consumption patterns constitutes invaluable information to support more effective decisions. In this paper, the authors present a framework that supports the discovery of service usage profiles, to bring awareness on the distinct groups of consumers, and their usage characterization in terms of detailed service functionality. The framework encompasses a process to cluster client applications and derive usage profiles. The paper also discusses how usage profiles can help to access the real impact on clients of incompatible changes performed over service descriptions, and presents a usage-oriented compatibility assessment algorithm. Experimental results are presented for both the profile discovery process and profile-based compatibility analysis.