Driven by the need to understand change within domains there is emerging research on methods which aim at analyzing how patterns and in particular itemsets ...
Driven by the need to understand change within domains there is emerging research on methods which aim at analyzing how patterns and in particular itemsets ...
A Condensed Representation of Itemsets for. Analyzing Their Evolution over Time. Mirko Boettcher1, Martin Spott2, and Rudolf Kruse1. 1. University of Magdeburg ...
Oct 20, 2009 · Driven by the need to understand change within domains there is emerging research on methods which aim at analyzing how patterns and in ...
A Condensed Representation of Itemsets for Analyzing their ...
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As a solution we propose temporally closed itemsets, a novel approach for a condensed representation of itemsets which is based on removing temporal ...
Böttcher, Mirko; Spott, Martin; Kruse, Rudolf: A condensed representation of itemsets for analyzing their evolution over time. In: Machine Learning and ...
A condensed representation of itemsets for analyzing their evolution over time. M Boettcher, M Spott, R Kruse. Machine Learning and Knowledge Discovery in ...
Condensed Representation refers to a method in computer science where textual data is transformed into numerical vectors using learning-based approaches ...
We address the problem of sequence classification using rules composed of interesting itemsets found in a dataset of labelled sequences and ac- companying class ...
Dec 29, 2022 · Online probability density estimation is used in [3] as a method of condensed representation for data mining tasks, especially when not having ...