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IS
2011
14 years 4 months ago
Time prediction based on process mining
Abstract. Process mining allows for the automated discovery of process models from event logs. These models provide insights and enable various types of model-based analysis. This ...
Wil M. P. van der Aalst, M. H. Schonenberg, Minseo...
94
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APN
2004
Springer
15 years 2 months ago
EMiT: A Process Mining Tool
Process mining offers a way to distill process models from event logs originating from transactional systems in logistics, banking, e-business, health-care, etc. The algorithms us...
Boudewijn F. van Dongen, Wil M. P. van der Aalst
71
Voted
AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
15 years 1 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
BPM
2007
Springer
155views Business» more  BPM 2007»
15 years 1 months ago
Fuzzy Mining - Adaptive Process Simplification Based on Multi-perspective Metrics
Abstract. Process Mining is a technique for extracting process models from execution logs. This is particularly useful in situations where people have an idealized view of reality....
Christian W. Günther, Wil M. P. van der Aalst
84
Voted
BPM
2007
Springer
130views Business» more  BPM 2007»
15 years 3 months ago
Process Mining Based on Clustering: A Quest for Precision
Process mining techniques attempt to extract non-trivial and useful information from event logs recorded by information systems. For example, there are many process mining techniqu...
Ana Karla Alves de Medeiros, Antonella Guzzo, Gian...