Sentence examples for rule generation from inspiring English sources

To address such problem, this study proposes a Sequence Clustering-based Automated Rule Generation (SCARG) that can automatically generate rules by mining decision-making history of domain experts based on sequence clustering and probabilistic graphical modeling.

Prior to rule generation, all frequent ruleitems are discovered.

Usually, they use complex rule generation mechanisms such as neural networks or genetic algorithms.

The experiments have been performed with apriori and predictive apriori rule generation algorithms.

There are two operations involved in this phase, as follows: rule generation and rule refining.

ARM has three main steps: neighborhood formation, rule generation, and recommendation display.

We now describe the process of rule generation in more detail.

After discretizing the real value attributes, decision rules were calculated through the decision rule generation algorithm for glacier mapping.

The latter allows for incorporation of prior knowledge and to interpret learning with DCSs as fuzzy rule generation and adaptation.

Table 2 show the result of sequential rule generation from all frequent sequences stored in the prefix-tree.

The Stockholm Sluice: The Stockholm Sluice is the pride of the 1930s slide-rule generation.