Now showing items 1-4 of 4

    • Discovering data-aware declarative process models from event logs 

      Maggi FM; Dumas M; Garcia-Banuelos L; Montali M (Springer, 2013)
      A wealth of techniques are available to automatically discover business process models from event logs. However, the bulk of these techniques yield procedural process models that may be useful for detailed analysis, but ...
    • Preface of the 2011 IAENG International Conference on Electrical Engineering Special Session: Design, analysis and tools for integrated circuits and systems 

      Tillo T; Wu Y; Huang W; Sasaki M; Lim E; Lee K; Mahanti P; Wan K; Voeten J; Lei C; English T; Planas M; Sahula V; Boolchandani D; Wang Z; Shandilya S; Khandekar P; Mady A; Bharti V; Pandey H; Harte S; Chung C; Giancardi L; Yin A; Lu C; Wang Y; Man K; Hahanov V; Prinetto P; Mercaldi M; Ma J; Choi J; Li W; Poncino M; Macii A; Al-Khalili D; Dong J; Popovici E; Schellekens M; Narasimha D; Anjum M; Zinchenko L; Navabi Z; Jaisankar N; Sathish Kumar A; Wang J; Hughes D; Klein F; Mohammadi S; Hollands S; Mansoor A (IAENG, 2011)
    • Process Mining Manifesto 

      van der Aalst WMP; Adriansyah A; Alves De Medeiros AK; Arcieri F; Baier T; Blickle T; Jagadeesh Chandra Bose RP; van den Brand P; Brandtjen R; Buijs JCAM; Burattin A; Carmona J; Castellanos M; Claes J; Cook J; Costantini N; Curbera F; Damiani E; De Leoni M; Delias P; van Dongen BF; Dumas M; Dustdar S; Fahland D; Ferreira DR; Gaaloul W; van Geffen F; Goel S; Gunther CW; Guzzo A; Harmon P; ter Hofstede AHM; Hoogland J; Ingvaldsen JE; Kato K; Kuhn R; Kumar A; La Rosa M; Maggi FM; Malerba D; Mans RS; Manuel A; Mccreesh M; Mello P; Mendling J; Montali M; Nezhad HRM; zur Muehlen M; Munoz-Gama J; Pontieri L; Ribeiro J; Rozinat A; Perez HS; Perez RS; Sepulveda M; Sinur J; Soffer P; Song M; Sperduti A; Stilo G; Stoel C; Swenson KD; Talamo M; Tan W; Turner C; Vanthienen J; Varvaressos G; Verbeek E; Verdonk M; Vigo R; Wang J; Weber B; Weidlich M; Weijters T; Wen L; Westergaard M; Wynn MT (Springer, 2011)
      Process mining techniques are able to extract knowledge from event logs commonly available in today’s information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of ...
    • Verification of Query Completeness over Processes 

      Razniewksi S; Montali M; Nutt W (Springer, 2013)
      Data completeness is an essential aspect of data quality, and has in turn a huge impact on the effective management of companies. For example, statistics are computed and audits are conducted in companies by implicitly ...