Call for Papers

Download the call for papers of the special session:

Paper submission guidelines, including paper format and submission system.


== 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 July 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.

Ċ
Andrea Burattin,
Jun 15, 2014, 8:42 AM
ċ
cfp-cidm-2014-process-mining.txt
(3k)
Andrea Burattin,
Jun 15, 2014, 8:40 AM