1st Workshop On Data Mining In Business Process Management (DMBPM 2017)

May 23-26, 2017

Jeju, Republic of Korea

Call For Papers

Business Process Management (BPM) refers to the body of theories, methods and tools to support the design, implementation, execution, monitoring and improvement of organizational business processes. Business processes are pervasive and adopted by organizations in most industries. The redesign of organizational business processes to attain better efficiency and effectiveness is often seen as the principal means for organizations to achieve their strategic objectives.

Topics of Interest

Association rule mining in BPM

Frequent itemset mining in BPM

Decision mining in BPM

Classification and feature selection in BPM

Clustering in BPM

Anomaly detection and risk analysis in BPM

Quality of evidence extracted for BPM

Mining streaming process data

Mining uncertain process data

Visual and interactive mining in BPM

Industrial applications of evidence-based BPM

Case studies about data mining in BPM

Innovative applications of evidence from data in BPM

Evidence-based prediction in BPM

Important Dates

Workshop paper submission deadline: January 7, 2017

Workshop author notification: January 27, 2017

Workshop camera-ready due: February 10, 2017

User Name : Anika
Posted 28-11-2016 on 10:51:58 AEDT

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