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» Understanding the Requirements on Modelling Techniques
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IDEAL
2009
Springer
14 years 2 months ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin
MIE
2008
177views Healthcare» more  MIE 2008»
13 years 9 months ago
Process Mining Techniques: an Application to Stroke Care
In a competitive health-care market, hospitals have to focus on ways to streamline their processes in order to deliver high quality care while at the same time reducing costs. To a...
Ronny Mans, Helen Schonenberg, Giorgio Leonardi, S...
IEEEICCI
2009
IEEE
14 years 2 months ago
Reducing the cognitive complexity of business process models
Current research on the quality of business process models mostly discusses the quality of a model mainly in terms of correctness of its behaviour. In this paper, we discuss anoth...
Volker Gruhn, Ralf Laue
ADBIS
2000
Springer
119views Database» more  ADBIS 2000»
14 years 2 days ago
A Benchmarking Technique for DBMS's with Advanced Data Models
The majority of database benchmarks currently in use in the industry were designed for relational databases. A different class of benchmarks became required for object oriented dat...
Naphtali Rishe, Alexander Vaschillo, Dmitry Vasile...
ER
2006
Springer
169views Database» more  ER 2006»
13 years 9 months ago
A More Expressive Softgoal Conceptualization for Quality Requirements Analysis
Initial software quality requirements tend to be imprecise, subjective, idealistic, and context-specific. An extended characterization of the common Softgoal concept is proposed fo...
Ivan Jureta, Stéphane Faulkner, Pierre-Yves...