Conference
View in EDS

Mining Bureaucracy Debt: Process Intelligence for Evidence-Based Deregulation

Bibliographic Details
Title: Mining Bureaucracy Debt: Process Intelligence for Evidence-Based Deregulation
Authors: Aalst, Wil M.P. van der
Source: 2026 21st Conference on Computer Science and Intelligence Systems (FedCSIS) Computer Science and Intelligence Systems (FedCSIS), 2026 21st Conference on. :1-11 Aug, 2026
Relation: 2026 21st Conference on Computer Science and Intelligence Systems (FedCSIS)
Database: IEEE Xplore Digital Library
FullText Text:
  Availability: 0
Header DbId: edseee
DbLabel: IEEE Xplore Digital Library
An: edseee.11711492
RelevancyScore: 1178
AccessLevel: 2
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 1177.97570800781
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Mining Bureaucracy Debt: Process Intelligence for Evidence-Based Deregulation
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Aalst%2C+Wil+M%2EP%2E+van+der%22">Aalst, Wil M.P. van der</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: 2026 21st Conference on Computer Science and Intelligence Systems (FedCSIS) Computer Science and Intelligence Systems (FedCSIS), 2026 21st Conference on. :1-11 Aug, 2026
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: 2026 21st Conference on Computer Science and Intelligence Systems (FedCSIS)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.11711492
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.15439/2026F8734
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 1
    Titles:
      – TitleFull: Mining Bureaucracy Debt: Process Intelligence for Evidence-Based Deregulation
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Aalst, Wil M.P. van der
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 23
              M: 08
              Type: published
              Y: 2026
          Identifiers:
            – Type: isbn-print
              Value: 9788397708815
            – Type: isbn-print
              Value: 9798331583958
            – Type: issn-locals
              Value: edseee.IEEEConferenc
          Titles:
            – TitleFull: 2026 21st Conference on Computer Science and Intelligence Systems (FedCSIS), Computer Science and Intelligence Systems (FedCSIS), 2026 21st Conference on
              Type: main
ResultId 1