Sentence examples for mining of frequent from inspiring English sources

The mining of frequent itemsets is a fundamental and important task of data mining.

In this paper, we study how to maintain privacy in distributed mining of frequent itemsets.

Henceforth, we transform the problem of ensemble pruning to the mining of frequent base classifiers on the classification matrix.

In this paper we represent an efficient scalable parallel algorithm using systolic arrays to conduct mining of frequent itemsets in very large, such as high dimensional, datasets.

To address the issue, this paper proposes a novel ensemble pruning algorithm based on the mining of frequent patterns called EP-FP.

The FP-growth algorithm uses an FP-tree data structure, which creates a sub-tree for each recursive call and favours the mining of frequent itemsets from dense databases [2].

The extraction of association rules is processed in two different steps, the first is mining of all frequent itemsets, and the second is the extraction of association rules from frequent itemset.

Data mining (DM) has been of growing importance since the 1960s, and it is in fact the most important step in the mining process especially of frequent patterns, and ARs which are the subject matter of this paper.

If one exactly knows the secondary structures of an RNA molecule (either experimentally or computationally), then the problem of finding consensus patterns among a set of RNA sequences can be cast as a problem of mining frequent tree patterns from a set of trees (secondary structures of RNA molecules).

High-Utility Itemset Mining (HUIM) is an extension of frequent itemset mining, which discovers itemsets yielding a high profit in transaction databases (HUIs).

Instead of mining frequent itemsets from customer transactions, the new algorithm discovers new neurofuzzy agents and mines agent associations in first-order logic for coordination that was once considered impossible in traditional data mining.