IEEE INTERNATIONAL CONFERENCE ON PROCESS MINING (ICPM)

Aachen (Germany), 24-28 June 2019
http://icpmconference.org

CALL FOR PAPERS

The IEEE International Conference on Process Mining (ICPM) aims to become the 
premium forum for researchers, practitioners and developers in process mining. 
The objective is to explore and exchange knowledge in this field through 
scientific talks, industry discussions, contests, technical tutorials and 
panels. The conference covers all aspects of process mining research and 
practice, including theory, algorithmic challenges, applications and the 
connection with other fields. 

Process mining is an innovative research field which focusses on extracting 
business process insights from transactional data commonly recorded by IT 
systems, with the ultimate goal of analyzing and improving organizational 
productivity along performance dimensions such as efficiency, quality, 
compliance and risk. By relying on data rather than perceptions gained from 
interviews and workshops, process mining shifts the way of thinking from 
"confidence-based" to "evidence-based" business process management. Thus, 
process mining distinguishes itself within the information systems domain by 
its fundamental, evidence-based focus on understanding, analyzing, and 
improving business processes. 
Compared with other data-driven research areas such as machine learning or data 
mining, process mining differs in the fundamental assumptions that data is 
generated in the context of more or less structured processes, and that the 
data contains explicit references to instances of these processes. Another key 
difference with other data-analysis techniques is that analysis results have to 
be explained in the context of these (interacting) processes.

Current process mining challenges include scalability, i.e. dealing with 
volume, velocity and variability of input data, especially in real-time/online 
settings using event streams; approximation, i.e. balancing computation time 
with accuracy; understandability and explainability, i.e. providing 
easy-to-understand and explainable analytics; multi-perspective analysis, i.e. 
considering data, resources and time beyond the process control flow; 
measurability, e.g., providing a comprehensive framework for measuring 
differences between observed and modelled process behavior, and ethical aspects 
of process mining, i.e. how to ensure that process mining procedures and 
results do not violate ethical principles.

ICPM 2019 will take place in Aachen, Germany, under the auspices of the IEEE 
Computational Intelligence Society, and supported by the IEEE Task Force on 
Process Mining. Aachen, a city in North Rhine-Westphalia, is well-known for its 
historic old-town center and the lively student life. Aachen offers many places 
of interest, including Aachen Cathedral in the heart of the city. The building 
was completed at the end of the 8th century by Emperor Charlemagne and became 
the first UNESCO World Heritage site in Germany. The Elisenbrunnen fountain 
represents Aachen as a spa and bathing city. Not only the Romans appreciated 
these hot springs, but also Charlemagne. ICPM will be co-located with the 40th 
International Conference on Application and Theory of Petri Nets and 
Concurrency (Petri Nets 2019), and the 19th IEEE International Conference on 
Application of Concurrency to System Design (ACSD 2019). The three events will 
take place in the conference area of the Tivoli football stadium close to the 
Aachen's city center.

ICPM 2019 encourages papers on new techniques and applications for process 
mining, as well as case studies coming from industrial scenarios. Also, papers 
describing novel process mining tools are expected. For new techniques, the 
availability of an implementation (which has to be accessible by the reviewers) 
is essential. Authors are expected to provide insights into the performance of 
new techniques on established, publicly-available benchmark datasets, or to 
release their datasets for replicability purposes. Empirical papers should 
build, where possible, on novel datasets previously unpublished, while research 
on existing datasets must clearly explain the novelty of the applied analysis.

The thematic areas in which contributions are sought include, but are not 
limited to, those listed below. 
Process mining techniques:
 - Automated discovery of process models
 - Conformance/compliance analysis
 - Construction of event logs
 - Improving quality of event logs
 - Decision mining for processes
 - Mining from non-process-aware systems / event streams
 - Multi-perspective process mining
 - Simulation/optimization and process mining
 - Predictive process analytics
 - Prescriptive process analytics and recommender systems 
 - Privacy, security and ethics
 - Process model repair
 - Process performance mining
 - Process mining quality measures
 - Variants/deviance analysis and root-cause analysis
 - Visual process analytics

Applications and case studies in:
 - Business Activity Monitoring and Business Intelligence
 - Business Process Management
 - Operations Management and Lean Six Sigma
 - Process Performance Measurement
 - Process Reengineering 
 - Resource Management
 - Risk Management
 - Robotic Process Automation (RPA)
 - Sensors, Internet-of-Things (IoT) and wearable devices
 - Specific domains such as accounting, finance, government, healthcare, 
manufacturing

SUBMISSION INSTRUCTIONS

Submissions must be original contributions that have not been published 
previously, nor submitted elsewhere while being submitted to ICPM 2019. 

All files must be prepared using the latest IEEE Computational Intelligence 
Society conference proceedings guidelines (8.5" × 11" two-column format). The 
page limit for regular papers is 8 pages. All papers must be in English. In 
addition to regular submissions, there will be a tools section. Tools will be 
presented at the conference in an interactive session. Related papers will 
describe a tool, its functionality and interfaces as well as the underlying 
algorithms and implementation aspects. These tool papers are limited to 4 
pages. 

Conference proceedings will be submitted for inclusion to IEEE Xplore. Accepted 
regular and tool papers will be included in the conference proceedings. At 
least one author of each accepted contribution is expected to present the paper 
or tool at the conference, and required to sign a copyright release form. 

All papers are to be submitted via EasyChair: 
https://easychair.org/conferences/?conf= icpm2019. Selected papers will be 
considered for publication in extended and revised form in a special issue of 
an international journal. 

ORGANIZATION

General Chair
Wil van der Aalst, RWTH Aachen, Germany

Program Committee Chairs
Josep Carmona, Universitat Politècnica de Catalunya, Spain
Mieke Jans, Hasselt University, Belgium 
Marcello La Rosa, The University of Melbourne, Australia

KEY DATES

 - Abstract submission: 1 February, 2019
 - Full papers submission: 8 February, 2019
 - Notifications: 8 March, 2019
-  Camera-ready papers: 5 April, 2019

Visit http://icpmconference.org for more information!




____________________________________
  Prof.dr.ir. Wil van der Aalst
  Process and Data Science @ RWTH
  www.vdaalst.com



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