Querying on large and complex databases by content: Challenges on variety and veracity regarding real applications
The amount and variety of digital data currently being generated, stored and analyzed,
including images, videos, and time series, have brought challenges to data administrators …
including images, videos, and time series, have brought challenges to data administrators …
Hollow-tree: a metric access method for data with missing values
S Brinis, C Traina, AJM Traina - Journal of Intelligent Information Systems, 2019 - Springer
Similarity search is fundamental to store and retrieve large volumes of complex data
required by many real world applications. A useful mechanism for such concept is the query …
required by many real world applications. A useful mechanism for such concept is the query …
The Merkurion approach for similarity searching optimization in Database Management Systems
Abstract Modern Database Management Systems (DBMSs) retrieve songs that resemble
those in a music dataset, identify plagiarism in a set of documents, or provide past cases to …
those in a music dataset, identify plagiarism in a set of documents, or provide past cases to …
[PDF][PDF] Temporal Evolution of Complex Data
ICOS Fogaça, R Bueno… - 35th Brazilian Symposium …, 2020 - sbbd.org.br
Monitoring the temporal evolution of data is essential in many areas of application of
databases, such as medicine, agriculture and meteorology. Complex data are usually …
databases, such as medicine, agriculture and meteorology. Complex data are usually …
Adequando consultas por similaridade para reduzir a descontinuidade semântica na recuperaçao de imagens por conteúdo
HL Razente - 2006 - teses.usp.br
Com o crescente aumento no número de imagens geradas em mídias digitais surgiu a
necessidade do desenvolvimento de novas técnicas de recuperação desses dados. Um …
necessidade do desenvolvimento de novas técnicas de recuperação desses dados. Um …
Compact distance histogram: a novel structure to boost k-nearest neighbor queries
The k-Nearest Neighbor query (k-NNq) is one of the most useful similarity queries.
Elaborated k-NNq algorithms depend on an initial radius to prune regions of the search …
Elaborated k-NNq algorithms depend on an initial radius to prune regions of the search …
[PDF][PDF] Buscas por Similaridade Diversificada com o Apoio deÍndices Métricos
DL JASBICK - researchgate.net
Executar buscas em grandes quantidades de dados é um desafio, tanto do ponto de vista
de tempo de execuçao quanto da qualidade semântica dos resultados, sendo necessário …
de tempo de execuçao quanto da qualidade semântica dos resultados, sendo necessário …
Efficient k-Nearest Neighbor Query Processing in Metric Spaces Based on Precise Radius Estimation
C Şardan - 2009 - search.proquest.com
Similarity searching is an important problem for complex and unstructured data such as
images, video, and text documents. One common solution is approximating complex objects …
images, video, and text documents. One common solution is approximating complex objects …