BPI 2018: 14th International Workshop on Business Process Intelligence (BPI’18) to be held in conjunction with BPM’18 Sydney, Australia, September 9-10, 2018 |
Conference website | http://www.win.tue.nl/bpi/2018 |
Abstract registration deadline | May 18, 2018 |
Submission deadline | May 25, 2018 |
Notification of acceptance | June 26, 2018 |
Camera-ready version workshop papers (strict deadline) | July 13, 2018 |
This year's BPI Workshop is a two day event focusing particularly on process mining in the context of big data. The workshop has a long tradition at the BPM conference and will, as before, be featuring:
|
|
The workshop is sponsored by the NWO DeLiBiDa project. This project aims at developing new process mining techniques that are able to deal with huge event logs recorded for processes executed in possibly highly variable and heterogeneous contexts. |
Description
Business Process Intelligence is an area that spans process mining (i.e., process discovery, conformance checking, etc.), 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 workshop is sponsored by the DeLiBiDa project (Desire Lines in Big Data), which is a project of NWO (i.e., the Dutch Science Foundation), aimed at scaling up process mining to handle huge event logs in a big data context (i.e., high volume, velocity, variety, etc.).
The list of topics that are relevant to the BPI workshop includes the following, but is not limited to:
Data-driven 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
-
Decision mining
-
Conformance / compliance analysis
-
Root cause analysis for process deviations
-
Vizualization 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
Submission Guidelines
Submitted papers will be evaluated on the basis of significance, originality and technical quality. The length of a paper must not exceed 12 pages, and there is no possibility to buy additional pages. Authors are requested to prepare submissions according to the LNCS/LNBIP format specified by Springer. The title page must contain a short abstract and a classification of the topics covered, preferably using the list of topics above. Papers should be submitted electronically through easychair. Members of an international and solid program committee will review all submissions. Each paper will be reviewed by 3 PC members guaranteeing that only papers presenting high quality and innovative research and practice issues in areas relevant to the workshop theme will be accepted.
Organizers
Boudewijn van Dongen (Corresponding Organizer) Department of Mathematics and Computer Science Eindhoven University of Technology P.O. Box 513, 5600 MB, Eindhoven, The Netherlands Tel: +31 40 247 2181 E-mail: b.f.v.dongen@tue.nl URL: http://www.win.tue.nl/ais |
Jan Claes Department of Business Informatics and Operations Management Ghent University Tweekerkenstraat 2, 9000 Gent, Belgium Tel.: +32 9 264 35 19 E-mail: jan.claes@ugent.be URL: http://www.janclaes.info |
Andrea Burattin Department of Applied Mathematics and Computer Science Technical University of Denmark E-mail: andbur@dtu.dk URL: http://andrea.burattin.net |
Jochen De Weerdt Research Centre for Management Informatics KU Leuven Naamsestraat 69, 3000 Leuven, Belgium Tel.: +32 16 37 62 68 E-mail: Jochen.DeWeerdt@kuleuven.be URL: http://www.jochendeweerdt.be |
The workshop is co-organized by the IEEE Task Force on Process Mining. The goal of this Task Force is to promote the research, development, education and understanding of process mining. For more information about the activities of the IEEE Task Force on Process Mining and its members see http://www.win.tue.nl/ieeetfpm/