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    • 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 ...