A new dynamic, secondary-memory metric index
Archivos
Fecha
2024-10-07
Nota de Acceso
Fecha de embargo
Profe guía
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Título de la revista
ISSN de la revista
Título del volumen
Editor
Red de Universidades Nacionales con carreras en Informática (RedUNCI); Universidad Nacional de la Plata
ISBN
9789503424285
ISSN
ISSNe
DOI
Resumen
Metric space searching addresses the problem of efficient similarity searching in many applications. Although promising, the metric space approach is still immature in several aspects that are well established in traditional databases. Particularly, most indexing schemes are not dynamic, that is, few of them tolerate insertion of elements at reasonable cost over an existing index with none or mild performance degrading; and even less of them work efficiently in secondary memory. The List of Clusters (LC) is a competitive index in main memory. We introduce a new dynamic, secondary-memory variant of the LC. Our new index handles well the secondary memory scenario and is competitive with the state of the art, becoming a useful alternative in a wide range of 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
Argentina
Sponsorship
Citación
En: Patricia Pesado, Pablo Thomas, Franco Chichizola (editores). Libro de Actas 30° Congreso Argentino de Ciencias de la Computación (CACIC). Argentina: RedUNCI; Universidad de la Plata, 2024. pp. 520-529.
Palabras clave
Metric space searching, Secondary memory index
Licencia
Atribución-NoComercial-CompartirIgual 3.0 Chile (CC BY-NC-SA 3.0 CL)