[FM-India] IEEE TSC special issue on "Processes meet Big Data"

[Madhavan Mukund]

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 From: Fulvio Frati <fulvio.frati at unimi.it>
 To: fmindia at cmi.ac.in
 Date: Tue, 29 Jan 2013 16:34:38 +0100
 Subject: IEEE TSC special issue on "Processes meet Big Data"
 
 Apologies if you have received multiple copies of this announcement
 
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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*
 
 - 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*
 
 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
 
 *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)

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