[Om-announce] IEEE TSC special issue on "Processes meet Big Data"

[Rafael Accorsi]

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Call for Papers
IEEE Transactions on Services Computing
SPECIAL ISSUE "PROCESSES MEET BIG DATA"

Website: <http://bit.ly/TV0hlO>     CFP in PDF: <http://bit.ly/XyMGxz>
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*AIMS AND SCOPE*
The aim of process mining is to discover, monitor and improve business 
processes by extracting knowledge from event logs readily available in 
today's information systems.  When large-scale processes are executed, 
e.g., on (cloud-based) service-oriented environments, process logs 
increasingly exhibit all typical properties of “big data”: wide physical 
distribution, diversity of formats, non-standard data models, 
heterogeneous semantics. Computing metrics over such "big logs" also 
requires to handle security and privacy concerns of many participants, 
and even to deal with non-uniform trustworthiness of log entries. New 
techniques are therefore required for designing, validating and 
deploying process metrics in this scenario, as well as for effectively 
dash-boarding the processes' performance indicators.

This special issue of IEEE Transaction on Service-Oriented Computing is 
intended to create an international forum for presenting innovative 
developments of process monitoring and analysis over service-oriented 
architectures, aimed at handling “big logs” and use them effectively for 
discovery, dash-boarding and mining. The ultimate objective is to 
identify the promising research avenues, report the main results and 
promote the visibility and relevance of this new area.

The special issue is related to two Dagstuhl Seminars happening in 2013:
- Unleashing Operational Process Mining
   <http://www.dagstuhl.de/en/program/calendar/semhp/?semnr=13481>

- Verifiably Secure Process-Aware Information Systems
   <http://www.dagstuhl.de/en/programm/kalender/semhp/?semnr=13341>

*TOPICS COVERED*
- Software engineering for scalable data analysis
- Engineering software to handle "big logs"
- Process monitoring on SOA and clouds
- Validation and benchmarking of process monitoring
- Efficiently mining rare patterns in "big logs"
- Scalable techniques for distributed process monitoring
- Monitoring and analysis of cloud-based processes
- Architectures and data models for synthesizing and handling "big logs"
- Privacy-aware computation of process metrics
- Securing log data
- Log obfuscation and access control
- Practical systems and tools for big log analysis and log dashboards
- Applications combining process management and big data, e.g. audit

*IMPORTANT DATES*
January 30, 2014: Submission deadline
March 30, 2014: Notification of the first-round review
April. 30, 2014: Revised submission due
June 15, 2014: Final notice of acceptance/reject

*SUBMISSION GUIDELINES*
Manuscripts should be prepared according to the instruction of the 
"Information for Authors" section of the journal. Submissions should be 
done through the IEEE TSC journal website: 
<http://mc.manuscriptcentral.com/tsc-ieee/>. Submitted manuscripts will 
be thoroughly reviewed using the standard procedure that is followed for 
regular IEEE TSC submissions.

*GUEST EDITORS*
Wil M.P. van der Aalst (TU Eindhoven, NL)
Rafael Accorsi (U of Freiburg, DE)
Ernesto Damiani (U of Milan, IT)


-- 
Dr. Rafael Accorsi
http://www.informatik.uni-freiburg.de/~accorsi
http://bpsec.telematik.uni-freiburg.de/