This paper addresses the problem of the blind signal extraction of sources by means of an information theoretic and geometric criterion.

In this paper, we retake the minimum support criterion and extend its role as contrast function for mixtures of complex source signals. The paper is organized ...

This paper addresses the problem of the blind signal extraction of sources by means of an information theoretic and geometric criterion.

In this paper, we address the problem of the blind extraction of a subset of “interesting” independent signals from a linear mixture.

May 5, 2023 · This contribution is focused on the statistical justification and practical implementation of the minimum perimeter criterion, a bounded ...

Apr 17, 2020 · If the minimum support value that is set is too small, it causes too many items to be involved in establishing the rules.

Abstract Frequent pattern mining is based on the assumption that users can specify the minimum-support for mining their databases.

Jan 5, 2010 · I would suggest to start with values 0.05 for support and 0.80 for confidence. But I agree that you should understand what exactly they represent.

Jun 9, 2024 · The Apriori algorithm uses the support, confidence, and lift metrics to define its operating criteria and improve performance efficiency.

Jan 23, 2024 · The metric determining the minimum number of times an item should appear in the data to be considered significant is “Support.” The support ...