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» Business Process Understanding: Mining Many Datasets
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IS
2007
13 years 7 months ago
Business process mining: An industrial application
Contemporary information systems (e.g., WfM, ERP, CRM, SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover p...
Wil M. P. van der Aalst, Hajo A. Reijers, A. J. M....
INCDM
2010
Springer
204views Data Mining» more  INCDM 2010»
13 years 11 months ago
Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways
Hospitals increasingly use process models for structuring their care processes. Activities performed to patients are logged to a database but these data are rarely used for managin...
Jonas Poelmans, Guido Dedene, Gerda Verheyden, Her...
IPPS
1998
IEEE
13 years 11 months ago
ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets
In this paper, we present ScalParC (Scalable Parallel Classifier), a new parallel formulation of a decision tree based classification process. Like other state-of-the-art decision...
Mahesh V. Joshi, George Karypis, Vipin Kumar
FIT
2010
13 years 2 months ago
Building AS-IS process models from task descriptions
Business processes have to adopt the changes driven by the market to remain competitive. This requires improvement of business processes, which can be carried out by understanding...
Azeem Lodhi, Gamal Kassem, Veit Köppen, Gunte...
TASE
2010
IEEE
13 years 2 months ago
Clear and Precise Specification of Ecological Data Management Processes and Dataset Provenance
Abstract--With the availability of powerful computational and communication systems, scientists now readily access large, complicated derived datasets and build on those results to...
Leon J. Osterweil, Lori A. Clarke, Aaron M. Elliso...