• 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