Search Results - "Barioni, Maria Camila N."

Storing data once in M-trees and PM-trees: Revisiting the building principles of metric access methods by Razente, Humberto, Barioni, Maria Camila N., Silva, Yasin N.

“…Since the introduction of the M-tree, a fundamental tree-based data structure for indexing multi-dimensional information, several structural enhancements have…”
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A comprehensive analysis of delayed insertions in metric access methods by Razente, Humberto, Barioni, Maria Camila N., Santos Sousa, Regis M.

“…Similarity queries are fundamental operations for applications that deal with complex data. This paper presents MIA (Metric Indexing Assisted by auxiliary…”
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A comprehensive analysis of the diverse aspects inherent to image data stream classification by de Lima, Mateus C., Souza, YanStivalettie, Faria, Elaine R., Barioni, Maria Camila N.

“…Image data stream classification presents several challenges, for example, the evolution of concepts of known classes ( concept drift ) and the emergence of…”
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StreamPref: a query language for temporal conditional preferences on data streams by Ribeiro, Marcos Roberto, Barioni, Maria Camila N., de Amo, Sandra, Roncancio, Claudia, Labbé, Cyril

“…Over recent years, several studies regarding preference queries over data streams have been developed in database and artificial intelligence research fields…”
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Open issues for partitioning clustering methods: an overview by Barioni, Maria Camila N., Razente, Humberto, Marcelino, Alessandra M. R., Traina, Agma J. M., Traina Jr, Caetano

“…Over the last decades, a great variety of data mining techniques have been developed to reach goals concerning Knowledge Discovery in Databases. Among them,…”
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Accelerating k-medoid-based algorithms through metric access methods by Barioni, Maria Camila N., Razente, Humberto L., Traina, Agma J.M., Traina, Caetano

“…Scalable data mining algorithms have become crucial to efficiently support KDD processes on large databases. In this paper, we address the task of scaling up…”
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WashTheHate: Understanding the Prevalence of Anti-Asian Prejudice on Twitter During the COVID-19 Pandemic by Wheeler, Brittany, Jung, Seong, Barioni, Maria Camila N., Purohit, Monika, Hall, Deborah L., Silva, Yasin N.

“…Prejudice and hate directed toward Asian individuals has increased in prevalence and salience during the COVID-19 pandemic, with notable rises in physical…”
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EVISClass: a new evaluation method for image data stream classifiers by de Lima, Mateus C., Barioni, Maria Camila N., Faria, Elaine R., Razente, Humberto L.

“…Methods for image data stream classification need to update their model constantly and many of these perform this in a supervised way. However, these studies…”
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Metric Data Analysis Enhanced through Temporal Visualization by Bueno, Renato, Razente, Humberto L, Kaster, Daniel S, Barioni, Maria Camila N, Traina, Agma J M, Traina, Caetano

“…The human vision can naturally interpret data in spaces of 2 or 3 dimensions. When data is in higher dimensional spaces, in most cases the visualization is not…”
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A robust hubness-based algorithm for image data stream classification by de Lima, Mateus C., Faria, Elaine R., Barioni, Maria Camila N.

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Incremental evaluation of continuous preference queries by Ribeiro, Marcos Roberto, Barioni, Maria Camila N., de Amo, Sandra, Roncancio, Claudia, Labbé, Cyril

“…Over recent decades, several studies regarding the incorporation of preferences into query languages have been developed in the database research field. The…”
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Optimizing metric access methods for querying and mining complex data types by de Souza, Jessica Andressa, Razente, Humberto Luiz, N Barioni, Maria Camila

“…Background There are several application scenarios that can take advantage from the efficient processing of similarity operations in complex data types, such…”
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Using Visual Analysis to Weight Multiple Signatures to Discriminate Complex Data by Bueno, R., Kaster, D. S., Razente, H. L., Barioni, M. C. N., Traina, A. J. M., Traina, Caetano

“…Complex data is usually represented through signatures, which are sets of features describing the data content. Several kinds of complex data allow extracting…”
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