index - Data-Driven Process Discovery and Analysis
   


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Table of Contents
Data-Driven Process Discovery and Analysis
Paolo Ceravolo, Rafael Accorsi, Philippe Cudre-Mauroux
Front Matter
The Effect of Noise on Mined Declarative Constraints
Claudio Ciccio, Massimo Mecella, Jan Mendling
1-24
Towards Collecting Sustainability Data in Supply Chains with Flexible Data Collection Processes
Gregor Grambow, Nicolas Mundbrod, Jens Kolb, Manfred Reichert
25-47
Handling Environment for Publicly Posted Composite Documents
Helen Balinsky, David Pérez
48-64
Enabling Non-expert Users to Apply Data Mining for Bridging the Big Data Divide
Roberto Espinosa, Diego García-Saiz, Marta Zorrilla, Jose Zubcoff, Jose-Norberto Mazón
65-86
Combining Semantic Lifting and Ad-hoc Contextual Analysis in a Data Loss Scenario
Antonia Azzini, Ernesto Damiani, Francesco Zavatarelli
87-109
Comparative Process Mining in Education: An Approach Based on Process Cubes
Wil Aalst, Shengnan Guo, Pierre Gorissen
110-134

 

 


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