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» Reasoning on Association Rules
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ICCS
2001
Springer
15 years 11 months ago
Inclusion-Based Approximate Reasoning
Nowadays, people start to accept fuzzy rule–based systems as flexible and convenient tools to solve a myriad of ill–defined but otherwise (for humans) straightforward tasks s...
Chris Cornelis, Etienne E. Kerre
CI
2004
119views more  CI 2004»
15 years 6 months ago
Reasoning with Sets of Defaults in Default Logic
We present a general approach for representing and reasoning with sets of defaults in default logic, focussing on reasoning about preferences among sets of defaults. First, we con...
James P. Delgrande, Torsten Schaub
CCGRID
2002
IEEE
15 years 11 months ago
Overcoming the Problems Associated with the Existence of Too Many DSM APIs
Despite the large research efforts in the SW–DSM community, this technology has not yet been adapted widely for significant codes beyond benchmark suites. One of the reasons co...
Martin Schulz
CLIMA
2004
15 years 7 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis
ADBIS
2005
Springer
112views Database» more  ADBIS 2005»
15 years 12 months ago
Non-destructive Integration of Form-Based Views
Form documents or screen forms bring essential information on the data manipulated by an organization. They can be considered as different but often overlapping views of its whole...
Jan Hidders, Jan Paredaens, Philippe Thiran, Geert...