DocumentCode :
169877
Title :
Process Mining as the Superglue Between Data Science and Enterprise Computing
Author :
Van Der Aalst, Wil
Author_Institution :
Dept. of Math. & Comput. Sci., Eindhoven Univ. of Technol., Eindhoven, Netherlands
fYear :
2014
fDate :
1-5 Sept. 2014
Firstpage :
1
Lastpage :
1
Abstract :
Summary form only given. Process mining provides new ways to utilize the abundance of data in enterprises. Suddenly many organizations realize thatsurvival is not possible without exploiting available data intelligently. A new profession is emerging: the data scientist. Justlike computer science emerged as a new discipline from mathematics when computers became abundantly available, we nowsee the birth of data science as a new discipline driven by the torrents of data available today. Process mining will be anintegral part of the data scientist´s toolbox. Also enterprise computing will need to focus on process innovation through theintelligent use of event data.This keynote talk will focus on challenges related to ´process mining in the large´, i.e., dealing with many processes, manyactors, many data sources, and huge amounts of data at the same time. By adequately addressing these challenges (e.g., usingprocess cubes) we get a new kind of superglue that will impact the future of enterprise computing.
Keywords :
business data processing; data mining; data science; data scientist; enterprise computing; process mining; Abstracts; Computer science; Conferences; Data mining; Distributed databases; Educational institutions; Mathematics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Enterprise Distributed Object Computing Conference (EDOC), 2014 IEEE 18th International
Conference_Location :
Ulm
ISSN :
1541-7719
Type :
conf
DOI :
10.1109/EDOC.2014.11
Filename :
6972044
Link To Document :
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