"association rules" is a correct and usable phrase in written English.
It is often used to refer to a set of rules that define an association between different objects or data sets. For example, "This organization implements a set of association rules for customer data."
Becquet et al. [ 24] utilized the association-rules discovery technique to reveal strong association rules hidden in large-scale human SAGE data.
Association rules generation This step, implement a parallel algorithm for building association rules that have a single item as the consequent.
Association rules generating Once the frequently occurring groups are found, we can produce association rules from these frequent ones.
When the Association Rules set R becomes empty and as the Rank-Sort-MDP(_{mathrm {REF}}) terminates processing all association rules which are ranked and classified.
An algorithm has been proposed to derive minimal multilevel association rules and cross-level association rules.
Many algorithms have been proposed for mining boolean association rules.
We propose the algorithms to generate the utility based non-redundant association rules and methods for reconstructing all association rules.
Why is there no consistency between state soccer association rules?
Relational association rules are an extension of ordinal association rules, which are a particular type of association rules that describe numerical orderings between attributes that commonly occur over a dataset.
They also serve as a condensed representation of frequent itemsets, as starting point for computing bases of association rules, and as a visualization method for association rules.
Firstly, too many association rules can be produced by the conventional association rule mining algorithms, and secondly, some association rules can be partly overlapped.
