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APN
2004
Springer
16 years 9 days 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
CAISE
2004
Springer
16 years 9 days ago
Process Mining for Ubiquitous Mobile Systems: An Overview and a Concrete Algorithm
Abstract. Ubiquitous Mobile Systems (UMSs) allow for automated capturing of events. Both mobility and ubiquity are supported by electronic means such as mobile phones and PDAs and ...
Ana Karla A. de Medeiros, Boudewijn F. van Dongen,...
ER
2004
Springer
79views Database» more  ER 2004»
16 years 8 days ago
Multi-phase Process Mining: Building Instance Graphs
Abstract. Deploying process-driven information systems is a time-consuming and error-prone task. Process mining attempts to improve this by automatically generating a process model...
Boudewijn F. van Dongen, Wil M. P. van der Aalst
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
16 years 7 days ago
Self-Similar Mining of Time Association Rules
Although the task of mining association rules has received considerable attention in the literature, algorithms to find time association rules are often inadequate, by either miss...
Daniel Barbará, Ping Chen, Zohreh Nazeri
PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
16 years 7 days ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk