Sentence examples for irrelevant rules from inspiring English sources

Furthermore, the GMAR algorithm prunes a large amount of irrelevant rules based on the minimum confidence.

Irrelevant rules indicating a transitive association (For example: Metformin → Hypertension).

Irrelevant rules resulting from the noise produced by the extraction of pathological conditions.

For example, the redundancy in itemsets can be decreased by ignoring irrelevant rules [ 34] or by limiting the search space to certain itemset classes, such as maximal itemsets [ 35, 36] or the highest scoring itemsets (top-K) [ 37].

What is worse, our dataset has many more items (COGs) than samples (genomes), contrary to the type of market basket data for which CAR APIORI was originally developed, and CAR APRIORI may tend to generate many irrelevant rules (Liu et al., 2006).

Proof nets, originally developed in the context of linear logic, use a representation of derivations that is inherently free of 'spurious ambiguity', i.e., the issue of irrelevant rule orderings simply doesn't arise.

Briefly, perseverative errors were scored when a rat continued to use the previously relevant but currently irrelevant rule.

This deterioration in task performance due to task-irrelevant rule violations is consistent with results from auditory distraction studies using concrete rules[17], [39], [40].

At the end of the Distraction condition, subjects were interviewed in a standardized way in order to determine to what extent they acquired explicit knowledge about the (task-irrelevant) rule or its violations.

We showed for the first time that this ability has consequences for adaptive behavior: First, task-irrelevant rule violations impaired behavioral performance in the primary task and activated a network previously found to be engaged in involuntary attention[16], [17].

For illustration, this procedure is applied to a mass health examination result data set, and the experiment results demonstrate that SAM with high S2C value helps to reduce the complexities of association analysis significantly and it enables to focus on the specific region of the search space of association rule mining while avoiding the irrelevant association rules.