LISE: A Logic-Based Interactive Similarity Explainer for Clusters of RDF Data
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DOI: 10.1109/access.2025.3571518
Abstract: Clustering methods are instrumental in the preliminary analysis of unstructured data, yet interpreting the resulting groups—-especially in the context of RDF (Resource Description Framework) data—-poses significant challenges. This paper introduces LISE (Logic-based Interactive Similarity Explainer),… read more here.
Keywords: interactive similarity; similarity explainer; lise logic; logic ... See more keywords
Exploring Multivariate Event Sequences with an Interactive Similarity Builder
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DOI: 10.1111/cgf.14539
Abstract: Similarity‐based exploration is an effective method in knowledge discovery. Faced with multivariate event sequence data (MVES), developing a satisfactory similarity measurement for a specific question is challenging because of the heterogeneity introduced by numerous attributes… read more here.
Keywords: multivariate event; builder; similarity; interactive similarity ... See more keywords