BOLDSC: A New Dynamic, Secondary-Memory Metric Index
Fecha
2025-10-01
Nota de Acceso
Fecha de embargo
Profe guía
Perfil ORCID
Título de la revista
ISSN de la revista
Título del volumen
Editor
Springer Nature
ISBN
ISSN
ISSNe
DOI
Resumen
Metric space searching addresses the problem of efficient similarity searching across diverse applications, in particular for non-structured objects, for instance, natural language or images. Although promising, this approach is still immature in several aspects that are well-established in traditional databases. Particularly, most indexing schemes are not dynamic, as they cannot efficiently handle insertions over an ongoing index without significant performance degradation. Moreover, very few of them work efficiently in secondary memory. The List of Clusters (LC) has proven to be a competitive index in main memory due to its simplicity and good search performance in high dimensional metric spaces. We introduce a new dynamic, secondary-memory LC variant. Our new index efficiently handles the secondary memory scenario and achieves competitive search and insertion times compared to the state-of-the-art, making it a practical alternative for large-scale database applications. Also, our ideas are applicable to other secondary-memory indexes, where it is possible to control the disk page occupation.
Descripción
Lugar de Publicación
Sponsorship
Citación
Palabras clave
Metric space searching, Secondary memory index
Licencia
http://creativecommons.org/licenses/by-nc-sa/3.0/cl/
Atribución-NoComercial-CompartirIgual 3.0 Chile (CC BY-NC-SA 3.0 CL)
Atribución-NoComercial-CompartirIgual 3.0 Chile (CC BY-NC-SA 3.0 CL)