C a l l     F o r     P a p e r s

World Congress on Computational Intelligence/ IJCNN 2020

Special Session on Advanced Event-data Analytics Solutions for Understanding and Improving Complex Processes (AEA4CS)

URL: https://sites.google.com/view/ijcnn2020-aea4cs/

You are kindly invited to submit to the Special Session on “Advanced Event Analytics for Understanding and Improving Complex Processes” (AE4CP), associated with the IEEE 2020 International Joint Conference on Neural Networks (IJCNN 2020), and affiliated to the IEEE Task Force on Process Mining.

*** Please apologize for multiple postings ***

Theme and scope
Temporally annotated event records tend to be accumulated in a continuous and massive way in the logs of disparate kinds of systems, such as social media systems, Business Process Management (BPM) and Industrial systems, human activities’ tracking systems, to cite a few.
In principle, if analyzed suitably, such log data could offer precious information on the behavior of the processes/systems that originated them, as well as to help monitor and improve the quality of these processes/systems, possibly assisting the involved people in their activities (e.g., through suitable run-time prediction/recommendation mechanisms). 
However, meeting this objective is often jeopardized by several challenging issues, which include primarily:
•	the dynamical and complex nature of log data (which often have a high-dimensional, temporal, and possibly non-stationary nature) and of the systems/processes that generated them; 
•	the lack of semantics in the log events, which are not easy to interpret in terms of relevant concepts (e.g., processes, process activities, …) and to relate to existing (high-level) models and domain knowledge;
•	the uncertainty and incompleteness of the log data (due, e.g., to missing/noisy event records, as well as to the difficulty to obtain a representative sample of all possible process/system behaviors).
This special session, affiliated to the IEEE Task Force on Process Mining, is meant to offer a platform for sharing and publishing innovative research related to the problems of interpreting and analyzing complex event data (like those mentioned above), and of ultimately supporting the monitoring, analysis and improvement of the processes/systems that generated these data. The session is primarily interested in solution approaches relying on the discovery and the refinement of behavioral models, or on the combination of high-level background knowledge with suitable data abstraction/interpretation techniques.
Scope and topics. Papers addressing these problems from a methodological and computational perspective are welcome, as well as contributions presenting relevant applications. Researchers working in any of the related areas of Machine/Deep Learning, Process Mining, Complex Event Processing (CEP), Big Data Analytics and Business Process Management (BPM) are encouraged to submit contributions to this session. 

The special session’s topics include, but are not limited to:
•	Event log abstraction/interpretation
•	Extracting behavioral  or process-oriented models from low-level and/or incomplete logs (possibly mixing up structured and unstructured data)
•	Learning Deep Neural models for making predictions and recommendations on the basis of low-level and/or incomplete log data
•	Conformance checking and deviance detection on low-level uncertain log data
•	Activity recognition and anomaly detection on low-level log data
•	Semantics-aware Complex Event Processing
•	Human-in-the-loop machine/deep learning frameworks for the analysis of event logs (e.g., combining learning and reasoning modules, featuring explanation mechanisms, and taking feedback/guidance from the analyst/user in the form of constraints/preferences)
•	Hybrid event-analysis or process-optimization methods combining symbolic and statistical methods
•	Benchmarks and comparative empirical analysis of existing solutions on public data
•	Application to real-life settings: BPM systems, IoT systems, Industrial logs, Social Networking systems, Smart Homes/Buildings/Cities, Healthcare systems, etc.
All papers accepted and presented at the IEEE IJCNN 2020 will be included in the conference proceedings published by IEEE Explore. A selection of the accepted papers will be considered for publication on a special issue of a SCOPUS indexed journal (to be announced).

Important dates
- Submission deadline of full papers: January 15th, 2020
- Notification of acceptance: 15 March 2020 
- Camera ready submissions of accepted papers: 15 April 2020 
- IEEE WCCI 2020, Glasgow, Scotland, UK: 19-24 July 2020 
- Registration deadline for Authors follows the general registration dates of WCCI 2020.

- Bettina Fazzinga (ICAR-CNR, Italy), bettina.fazzinga@icar.cnr.it
- Francesco Folino (ICAR-CNR, Italy), francesco.folino@icar.cnr.it
- Filippo Furfaro (Dept. DIMES, University of Calabria, Italy), furfaro@dimes.unical.it
- Luigi Pontieri (ICAR-CNR, Italy), luigi.pontieri@icar.cnr.it