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DRUM 2015 : 1st Workshop on Decision and Rule Mining

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Link: https://ai.wu.ac.at/drum2015/
 
When Nov 16, 2015 - Nov 16, 2015
Where Goa, India
Submission Deadline Sep 14, 2015
Notification Due Sep 23, 2015
Final Version Due Sep 30, 2015
Categories    business process management   decision and rule mining   declarative processes   process mining
 

Call For Papers

** CALL FOR PAPERS **

1ST WORKSHOP ON DECISION AND RULE MINING (DRUM'15)

in conjunction with ICSOC 2015

November 16-19, GOA, INDIA



Procedural process modelling languages, such as BPMN, Petri nets, UML ADs, EPCs and BPEL, are very useful in environments that are stable and where the decision procedures are predictable and can be predefined. With these languages, process participants can be guided step-by-step by process models in process executions.

The declarative approach is alternative (though non-exclusive) to the procedural one. Declarative specifications, instead of explicitly detailing all possible sequences of tasks in a process, implicitly detail the allowed behavior of the process with constraints, i.e., rules that can be enforced at design time or during the process execution. This type of specifications can also be used together with procedural specifications, e.g., in hybrid approaches or to impose declarative constraints on procedural models.

In both procedural and declarative approaches, business conditions on data, i.e., business decisions, can be used to drive either the choice of the path to follow (in the procedural case) or the application of a rule (in the declarative case).

Making explicit the rules and the decisions that are embedded in procedures or orthogonal to procedural specifications allows business analysts and designers to explicitly define the business logics underlying processes or the constraints to be applied on top of them. Business decision rules can be described by means of declarative models (e.g., Declare models), through sets of logical formulas (e.g., LTL formulas), using special notations (e.g., ORM) or even in natural language.

Rules and decisions can be explicitly modeled together with or instead of procedural models; mined from online or completed process executions; used to analyze existing procedures by detecting deviances and rule violations; enforced against existing processes and process executions; applied to improve and re-design process models.



** KEY TOPICS **

The workshop topics of interest include, but are not limited to:
- Business and Decision Rules
- Rule Notations, Specifications and Languages
- User-friendly Notations for defining Rules and Decisions
- Declarative Process Modelling
- Rule Checking and Verification
- Rule, Decision and Process Mining
- Norms and Laws
- Flexible Processes
- Case Studies and Empirical Evaluations



** WEBSITE **

https://ai.wu.ac.at/drum2015



** IMPORTANT DATES **

Submission: September 14, 2015 (EXTENDED, HARD DEADLINE)
Notification: September 23, 2015 (EXTENDED)
Camera Ready: September 30, 2015
Workshop: November 16, 2015



** SUBMISSIONS **

Authors are invited to submit original, previously unpublished research papers. Papers should be written in English, strictly following Springer LNCS style including all text, references, appendices, and figures. For formatting instructions and templates, see the Springer Web page: http://www.springer.de/comp/lncs/authors.html

The following types of submissions are accepted:
- Full research papers and experience papers with a maximum length of 12 pages, including references and appendices.
- Short papers and position papers with a maximum length of 6 pages, including references and appendices.

Papers must be submitted in PDF format via the electronic submission system available at: https://www.easychair.org/conferences/?conf=drum2015



** WORKSHOP ORGANIZERS **

Claudio Di Ciccio, Vienna University of Economics and Business, Austria.
Chiara Di Francescomarino, FBK-IRST, Italy.
Fabrizio Maria Maggi, University of Tartu, Estonia.
Nanjangud C. Narendra, IBM India Software Lab, India.


Please, contact the chairs at drum2015@ai.wu.ac.at

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