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Static analysis methods are given for determining whether arbitrary sets of database production rules are(1) guaranteed to terminate; (2) guaranteed to produce a unique nal database state; (3) guaran...
Methods are given for statically analyzing sets of database production rules to determine if the rules are (1) guaranteed to terminate, (2) guaranteed to produce a unique nal database state, and (3) ...
There have been significant efforts to identify high-order quadrature rules on d-simplex and d-hypercube geometries as evidenced by the surveys in [1–5]. On thed-hypercube, it is well-known that optim...
Using the race theme and symbols as a way to frame the discussion, this paper will highlight a variety of ethical issues that can emerge throughout the representation of a client in matters related to...
The amount of data for decision making has increased tremendously in the age of the digital economy. Decision makers who fail to proficiently manipulate the data produced may make incorrect decisions ...
In the privacy preservation of association rules, sensitivity analysis should be reported after the quantification of items in terms of their occurrence. The traditional methodologies, used for preser...
Word alignment is a fundamental step in machine translation. Current statistical machine translation systems suffer from a major drawback: they only extract rules from 1-best alignments, which adverse...
As the number of manually acquired rules in a patent translation system increases, conflicts between rules inevitably exist. Meanwhile, lacking the matched cases of manually acquired rules in real bil...
We propose a layered-grammar model to represent actions. Using this model, an action is represented bya set of grammar rules. The bottom layer of an action instance’s parse tree contains action primit...
It is being recognised increasingly in the scientific literature that real world design problem solving is noo hierarchical, being characterised by a strategy, termed 'opportunism', whereby designers ...
A large body of recent research has been investigating the acquisition and application of applied inference knowledge. Such knowledge may be typically captured as entailment rules, applied over syntac...
Classification is a supervised learning method that induces a classification model from a database and is one of the most commonly applied data mining task. The frequently employed techniques are deci...
FINDING EXCEPTION FOR ASSOCIATION RULES VIA SQL QUERIES     data mining  association rules  exceptions       font style='font-size:12px;'> 2010/1/13
Finding association rules is mainly based on generating larger and larger frequent set candidates, starting from frequent attributes in the database. The frequent sets can be organised as a part of ...

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