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PRODID:https://github.com/derhansen/sf_event_mgt
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UID:893-1391@rg-aachen.gi.de
CLASS: PUBLIC
SUMMARY:Process Science and Data Science: A Match Made in Heaven! - Prof. v
 an der Aalst
DESCRIPTION:The Process and Data Science (PADS) group, headed by prof.dr.ir
 . Wil van der Aalst, is a new research unit in RWTH’s Department of Compute
 r Science. The scope of PADS includes all activities where discrete process
 es are analyzed, reengineered, and/or supported in a datadriven manner. Pro
 cess-centricity is combined with an array of Data Science techniques. This 
 talk will introduce Process Mining as a novel way to turn event data into v
 aluable insights, predictions, and decisions. Events refer to activities ex
 ecuted by resources at particular times and for particular cases. Such even
 t data are collected everywhere; in logistics, manufacturing, finance, heal
 thcare, customer relationship management, e-learning, e-government, and man
 y other domains. Process Mining can be used to discover the real processes,
  to detect deviations from normative processes, and to analyze bottlenecks 
 and waste. The interplay between Process Science and Data Science generates
  many interesting research problems. For example, how to deal with terabyte
 s of event data scattered over dozens of database tables? How to use proces
 s mining responsibly (e.g., ensure fairness and confidentiality)? How to am
 algamate Process Mining with Operations Research approaches (optimization, 
 simulation, etc.)? These questions are scientifically interesting and pract
 ically relevant. This is illustrated by the 25+ commercial Process Mining t
 ools based on the ideas developed by prof. van der Aalst and his colleagues
 . His talk will show different tools and their use in a variety of domains.
  Vortrag und Diskussion © Bart van Overbeeke Fotografie In Kooperation mit 
 Fachgruppe Informatik, der Regionalgruppe der Gesellschaft für Informatik (
 RIA) und des Regionalen Industrieclubs Informatik Aachen (Regina e.V.)\n\n3
 00 Teilnehmer erschienen zu dieser Veranstaltung.
LOCATION:Aula 2 RWTH Aachen Informatikzentrum, Ahornstraße 55
DTSTAMP:20201125T115607Z
DTSTART:20180608T133000Z
DTEND:20180608T144500Z
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