BPI 2016 - 12th International Workshop on Business Process Intelligence

Business Process Intelligence is an area that spans process discovery, conformance checking, process mining, predictive analytics and many other techniques that are all gaining interest and importance in industry and research. BPI refers to the application of various measurement and analysis techniques in the area of business process management. In practice, BPI is embodied in tools for managing process execution quality by offering several features such as analysis, prediction, monitoring, control, and optimization.
The goal of this workshop is to provide a better understanding and a more appropriate support of company processes at design time and the way they are handled at runtime, focussing on processes in isolation as well as the interplay between many parallel processes both within and between companies.
We aim to bring together practitioners and researchers from different communities such as business process management, information systems research, business administration, software engineering, artificial intelligence, process mining, and data mining who share an interest in the analysis of business processes and process-aware information systems. The workshop aims at discussing the current state of ongoing research and sharing practical experiences.
The list of topics that are relevant to the BPI workshop includes the following, but is not limited to:
Analysis Techniques at design time and/or runtime:
Mining of business processes from event logs
Mining of non process aware systems / event streams
Multi perspective process mining
Statistical analysis in the business process management lifecycle
Predictive analytics
Recommender systems
Conformance / compliance analysis
Root cause analysis for process deviations
Business process visualization
Visualization of process mining results
Machine-learning and business processes
Measurement of business process models and business process modeling
Information retrieval related to business process management
Similarity related to processes and cases
Integration of processes and process models
Mathematical optimization of business processes
Simulation of business processes
Applications of such analysis techniques and case studies in:
Performance Measurement of business processes
Business Process Reengineering
Business Process Quality
Emergent workflows
Process discovery
Conformance and risk management for business processes
Operations Management and Six Sigma
Data warehousing
Static and dynamic optimization
Self-management
Monitoring of business processes
Resource Allocation in business processes
Prediction
Dynamic composition of business processes