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CAISE
2000
Springer
13 years 12 months ago
A Formal Model for Business Process Modeling and Design
We present a formal framework for representing enterprise knowledge. The concepts of our framework (objectives and goals, roles and actors, actions and processes, responsibilities ...
Manolis Koubarakis, Dimitris Plexousakis
FLAIRS
2009
13 years 5 months ago
A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture
Manual knowledge acquisition is usually a costly and timeconsuming process. Automatic knowledge acquisition methods can then significantly support the knowledge engineer. In this ...
Martin Atzmueller, Grzegorz J. Nalepa
ICIP
2003
IEEE
14 years 9 months ago
Adaptive rule-based recognition of events in video sequences
Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
Vassilis Tzouvaras, Gabriel Tsechpenakis, Giorgos ...
AIFIPP
1992
13 years 8 months ago
Task-Structure Analysis for Knowledge Modeling
We have for several years been working on an approach to knowledge system building that argues for the existence of a close connection between the tasks which the knowledge system ...
B. Chandrasekaran, Todd R. Johnson, Jack W. Smith
IJDMB
2008
132views more  IJDMB 2008»
13 years 7 months ago
A Bayesian framework for knowledge driven regression model in micro-array data analysis
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
Rong Jin, Luo Si, Christina Chan