A methodology for workload characterization of E-commerce sites
Proceedings of the 1st ACM conference on Electronic commerce
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Improving the Effectiveness of a Web Site with Web Usage Mining
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Discovering colored Petri nets from event logs
International Journal on Software Tools for Technology Transfer (STTT)
Discovering Process Models from Unlabelled Event Logs
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Discovering Process Models from Unlabelled Event Logs
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Functional specification of probabilistic process models
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Learning the Control-Flow of a Business Process Using ICN-Based Process Models
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Time prediction based on process mining
Information Systems
Characterization of workload and resource consumption for an online travel and booking site
IISWC '10 Proceedings of the IEEE International Symposium on Workload Characterization (IISWC'10)
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Event correlation for process discovery from web service interaction logs
The VLDB Journal — The International Journal on Very Large Data Bases
Discovering event correlation rules for semi-structured business processes
Proceedings of the 5th ACM international conference on Distributed event-based system
BPM'06 Proceedings of the 4th international conference on Business Process Management
Web analytics and metrics: a survey
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
SRII '12 Proceedings of the 2012 Annual SRII Global Conference
Automatic Recommendation of Web Pages for Online Users Using Web Usage Mining
ICCS '12 Proceedings of the 2012 International Conference on Computing Sciences
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The dynamic nature of the Web and its increasing importance as an economic platform create the need of new methods and tools for business efficiency. Current Web analytic tools do not provide the necessary abstracted view of the underlying customer processes and critical paths of site visitor behavior. Such information can offer insights for businesses to react effectively and efficiently. We propose applying Business Process Management (BPM) methodologies to e-commerce Website logs, and present the challenges, results and potential benefits of such an approach. We use the Business Process Insight (BPI) platform, a collaborative process intelligence toolset that implements the discovery of loosely-coupled processes, and includes novel process mining techniques suitable for the Web. Experiments are performed on custom click-stream logs from a large online travel and booking agency. We first compare Web clicks and BPM events, and then present a methodology to classify and transform URLs into events. We evaluate traditional and custom process mining algorithms to extract business models from real-life Web data. The resulting models present an abstracted view of the relation between pages, exit points, and critical paths taken by customers. Such models show important improvements and aid high-level decision making and optimization of e-commerce sites compared to current state-of-art Web analytics.