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EGICE
2006
14 years 17 days ago
Combining Two Data Mining Methods for System Identification
System identification is an abductive task which is affected by several kinds of modeling assumptions and measurement errors. Therefore, instead of optimizing values of parameters ...
Sandro Saitta, Benny Raphael, Ian F. C. Smith
CP
1995
Springer
14 years 14 days ago
Integrating Constraints in an Object-Based Knowledge Representation System
Object-based knowledge representation systems bene t from the declarative power of the object formalism for modeling, organizing and storing large amounts of knowledge. They also ...
Jérôme Gensel
JOT
2008
124views more  JOT 2008»
13 years 8 months ago
Methodological Proposal for Business Process Management sustained in the use of Patterns
At the moment, enterprises require complex business models with an organizational structures, processes and systems that must be explicitly designed. The work designed by these bu...
Pedro Bonillo, Nancy Zambrano, Alecia Eleonora Aco...
EJIS
2007
115views more  EJIS 2007»
13 years 8 months ago
Towards agent-oriented model-driven architecture
Model-Driven Architecture (MDA) supports the transformation from reusable models to executable software. Business representations, however, cannot be fully and explicitly represen...
Liang Xiao 0002, Des Greer
RAID
2009
Springer
14 years 3 months ago
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
Gabriela F. Cretu-Ciocarlie, Angelos Stavrou, Mich...