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SURVEY: IMPROVING EVENT DATA PREPARATION FOR PROCESS MINING

MINERÍA DE PROCESOS: PERSPECTIVA ACTUAL Y RETOS ALGORÍMICOS / INTRODUCTION TO
PROCESS MINING IN SPANISH

PDC 2021: CALL FOR DISCOVERY ALGORITHMS

Previous Next

More and more people, both in industry and academia, consider process mining
(see the promotional video for an introduction) as one of the most important
innovations in the field of business process management. It joins ideas of
process modeling and analysis on the one hand and data mining and machine
learning on the other. Therefore, the IEEE has established a Task Force on
Process Mining. This Task Force is established in the context of the Data Mining
Technical Committee (DMTC) of the Computational Intelligence Society (CIS) of
the Institute of Electrical and Electronic Engineers, Inc. (IEEE).

The goal of this Task Force is to promote the research, development, education
and understanding of process mining. More concretely, the goal is to:

 * make end-users, developers, consultants, and researchers aware of the
   state-of-the-art in process mining,
 * promote the use of process mining techniques and tools and stimulating new
   applications,
 * play a role in standardization efforts for logging event data,
 * the organization of tutorials, special sessions, workshops, panels,
 * the organization of Conferences/Workshop with IEEE CIS Technical
   Co-Sponsorship, and
 * publications in the form of special issues in journals, books, articles
   (e.g., in the IEEE Computational Intelligence Magazine).

Note that process mining includes (automated) process discovery (extracting
process models from an event log), conformance checking (monitoring deviations
by comparing model and log), social network/organizational mining, automated
construction of simulation models, case prediction, and history-based
recommendations.

What is Process Mining?


Recent news
 * Survey: Improving Event Data Preparation for Process Mining
 * MEHRWERK Process Mining V2 has been XES certified
 * Minería de Procesos: Perspectiva Actual y Retos Algorímicos / Introduction to
   Process Mining in Spanish




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