Sentence examples for management of rules from inspiring English sources

Atomicity of business rules enables more effective management of rules and opens up metadata engineering possibilities that do not exist in traditional hand-coded applications.

Informatics-leaning bioinformaticians have been applying these strategies for many years through explicit management of rules ('requirements'), tracking of relationships between rules as well as data ('dependencies') and clear definitions of the extent of the problem ('scope'scope

Revote supporters have advanced just about every solution possible -- firehouse primaries, cost-effective caucuses, mail-in revotes -- but nothing has firmly moved the DNC from their position: that rules are rules and they need to be abided (at least until such time as another committee takes over the management of said rules).

Effective specification and management of business rules can ensure consistency in operating practices and compliance with regulatory requirements.

These include key management for cryptographic functions, user registry management, authorization, privacy and trust policy management, and management of mapping rules that enables federation.

This paper deals with the management of business rules and requirements to be integrated to a PLM system during the SE process.

Despite these developments, little has been published in MIS journals that examine the management of business rules management systems (BRMS) development and deployments in general, and in healthcare service sector in particular.

The design and management of firewall rule sets is a very difficult and error-prone task because of the difficulty of translating access control requirements into complex low-level firewall languages.

"…The reduction of the modern office management to rules is deeply embedded in its very nature".

All biophysical and economical definitions including management in terms of rules constitute user-defined scenarios, which can be saved, retrieved, modified and deleted.

Finally, the proposed approach has the following major strengths: Mining and visualization of association rules Management of the interest level of association rules Reduction of the large number of extracted rules.