IEEE CIS Task Force on Process Mining

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shared:ieee_tsc_special_issue_on_processes_meet_big_data [2013/12/10 11:35]
hverbeek created
shared:ieee_tsc_special_issue_on_processes_meet_big_data [2016/09/27 15:17] (current)
hverbeek
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-====== IEEE TSC special issue on "Processes meet Big Data" ====== +{{page>:events:2013_12_10_tsc}}
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-===== Call for Papers ===== +
-[[http://bit.ly/TV0hlO|IEEE Transactions on Services Computing SPECIAL ISSUE "PROCESSES MEET BIG DATA"]] +
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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. +
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-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. +
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-The special issue is related to two Dagstuhl Seminars happening in 2013: +
-  * [[http://www.dagstuhl.de/en/program/calendar/semhp/?semnr=13481|Unleashing Operational Process Mining]] +
-  * [[http://www.dagstuhl.de/en/programm/kalender/semhp/?semnr=13341|Verifiably Secure Process-Aware Information Systems]] +
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-===== Topics Covered ===== +
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-  * 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 +
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-===== 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 +
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-===== Submission Guidelines ===== +
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-Manuscripts should be prepared according to the instruction of the "Information for Authors" section of the journal. Submissions should be done through the [[http://mc.manuscriptcentral.com/tsc-ieee/|IEEE TSC journal website]]. +
-Submitted manuscripts will be thoroughly reviewed using the standard procedure that is followed for regular IEEE TSC submissions. +
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-===== Guest Editors ===== +
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-  * 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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