[AISWorld] CFP: SPECIAL SESSION ON BUSINESS PROCESS ANALYTICS, PROCESS MINING AND PROCESS BIG DATA - 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), Orlando, Florida

[Aalst, W.M.P. van der]

== CALL FOR PAPERS ==

SPECIAL SESSION ON
BUSINESS PROCESS ANALYTICS, PROCESS MINING AND PROCESS BIG DATA

2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)
December 9-12, 2014, Orlando, Florida

The IEEE Task Force on Process Mining  is  organizing  a  special session at the
2014  IEEE Symposium on Computational Intelligence and Data Mining  (CIDM 2014).
The goal  of  this special session  is  to  allow experts in the area of process
mining and  (big) data analysis  to  share new techniques, applications and case
studies.   Therefore,  submissions of papers  on  new process mining techniques,
applications  of  process  mining,   business intelligence,   process discovery,
conformance checking, process intelligence, big data analysis, etc. are welcome.

Process mining is a relatively  young  research  discipline  that  sits  between
computational intelligence and  data mining on the one hand and process modeling
and analysis on the other hand.  The idea  of  process mining  is  to  discover,
monitor and improve real processes  (i.e., not assumed processes)  by extracting
knowledge from event logs readily available in today's systems.

We now live in  a time where the amount of data created daily goes easily beyond
the storage  and  processing capabilities  of  nowadays systems:  organizations,
governments but also individuals generate large amounts  of  data at a rate that
has started to overwhelm the ability to timely extract useful knowledge from it.
Nevertheless the strategic importance of the knowledge hidden in such data,  for
effective decision making is paramount and need to be extracted quickly in order
to  effectively  react  to  dynamic  situations.   Efficient  stream  processing
approaches for real time analysis  are  crucial  for  enabling  the  predictive
capabilities required  by  today's dynamically and rapidly evolving enterprises.
Moreover,  since  the work of medium-large enterprises is typically  governed by
business processes,  it is very common to have event data generated as result of
such process executions that can be used as input for process mining techniques.


== TOPICS OF INTEREST ==

- Storage and extraction of big process logs
- Process mining approaches
- Online process mining (stream processing)
- Distributed approaches for process mining
- Business process intelligence
- Data mining for process management
- Specific computational intelligence applications in process mining
- Case studies


== IMPORTANT DATES ==

Paper submission: June 15, 2014
Decision: September 5, 2014
Final paper submission: October 5, 2014


== ORGANIZERS ==

Andrea Burattin, University of Padua, Italy
Fabrizio M. Maggi, University of Tartu, Estonia
Marcello Leida, Etisalat BT Innovation Centre, UAE


== MORE INFORMATION ==

Visit the conference website www.ieee-ssci.org or
http://cidm2014.processmining.it for detailed submission information.



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