RT info:eu-repo/semantics/article
T1 On Detecting and Removing Superficial Redundancy in Vector Databases
A1 Castro-García, Noemí de
A1 Muñoz Castañeda, Ángel Luis
A1 Fernández Rodríguez, Mario
A1 Carriegos Vieira, Miguel
A2 Algebra
K1 Biblioteconomía
K1 Python
K1 MapReduce
K1 Ciberseguridad
K1 Optimización de datos
K1 1203.12 Bancos de Datos
AB A mathematical model is proposed in order to obtain an automatized tool to remove any unnecessary data, to compute the level of the redundancy, and to recover the original and filtered database, at any time of the process, in a vector database. This type of database can be modeled as an oriented directed graph. Thus, the database is characterized by an adjacency matrix. Therefore, a record is no longer a row but a matrix. Then, the problem of cleaning redundancies is addressed from a theoretical point of view. Superficial redundancy is measured and filtered by using the 1-norm of a matrix. Algorithms are presented by Python and MapReduce, and a case study of a real cybersecurity database is performed.
PB Hindawi
SN 1024-123X
LK http://hdl.handle.net/10612/11344
UL http://hdl.handle.net/10612/11344
NO Mathematical Problems in Engineering,  Vol. 2018,
NO 14 p.
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 19-abr-2024