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IEEE TSC special issue on "Processes meet Big Data"

From: Fulvio Frati <fulvio.frati@unimi.it>
Date: Tue, 29 Jan 2013 17:26:44 +0100
To: semantic-web@w3.org
Message-id: <035501cdfe3d$6d967710$48c36530$@unimi.it>
Apologies if you have received multiple copies of this announcement



Call for Papers

IEEE Transactions on Services Computing



Website: <http://bit.ly/TV0hlO>     CFP in PDF: <http://bit.ly/XyMGxz>




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



- Verifiably Secure Process-Aware Information Systems




- 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



Aug. 1, 2013: Submission deadline

Nov. 1, 2013: Notification of the first-round review 

Jan. 10, 2014: Revised submission due 

Mar. 1, 2014: Final notice of acceptance/reject



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.



- Wil M.P. van der Aalst (TU Eindhoven, NL) 

- Rafael Accorsi (U of Freiburg, DE) 

- Ernesto Damiani (U of Milan, IT)


Received on Tuesday, 29 January 2013 16:27:09 UTC

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