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» Data Modelling in Complex Application Domains
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CAISE
1992
Springer
13 years 8 months ago
Data Modelling in Complex Application Domains
In many non trivial application domains, object types with a complex structure occur. Data modelling techniques which only allow flat structures are not suitable for representing ...
Arthur H. M. ter Hofstede, Henderik Alex Proper, T...
TSP
2010
12 years 11 months ago
On entropy rate for the complex domain and its application to i.i.d. sampling
We derive the entropy rate formula for a complex Gaussian random process by using a widely linear model. The resulting expression is general and applicable to both circular and non...
Wei Xiong, Hualiang Li, Tülay Adali, Yi-Ou Li...
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 5 months ago
Camouflaged fraud detection in domains with complex relationships
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Sankar Virdhagriswaran, Gordon Dakin
AAAI
2008
13 years 7 months ago
Generating Application-Specific Benchmark Models for Complex Systems
Automated generators for synthetic models and data can play a crucial role in designing new algorithms/modelframeworks, given the sparsity of benchmark models for empirical analys...
Jun Wang, Gregory M. Provan
DEXA
2000
Springer
147views Database» more  DEXA 2000»
13 years 9 months ago
Lattice-Structured Domains, Imperfect Data and Inductive Queries
The relational model, as proposed by Codd, contained the concept of relations as tables composed of tuples of single valued attributes taken from a domain. In most of the early lit...
Sally Rice, John F. Roddick