Storing data once in M-trees and PM-trees: Revisiting the building principles of metric access methods

Autor: Razente, Humberto, Barioni, Maria Camila N., Silva, Yasin N.

Publikováno v: In Information Systems February 2022 104

Incremental evaluation of continuous preference queries

Autor: Ribeiro, Marcos Roberto, Barioni, Maria Camila N., de Amo, Sandra, Roncancio, Claudia, Labbé, Cyril

Publikováno v: In Information Sciences July 2018 453:127-153

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Combining Semi-supervision and Hubness to Enhance High-dimensional Data Clustering

Autor: de Lima, Mateus C., Barioni, Maria Camila N., Razente, Humberto L.

Publikováno v: Journal of Information and Data Management; v. 8, n. 3 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 223
Journal of Information and Data Management; Vol 8 No 3 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 223
Journal of Information and Data Management; v. 8 n. 3 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 223

The curse of dimensionality turns the high-dimensional data analysis a challenging task for data clustering techniques. Recent works have efficiently employed an aspect inherent to high-dimensional data in the proposal of clustering approaches guided

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::59acf40390c0e8f0276550f76fe7dd9c
https://seer.ufmg.br/index.php/jidm/article/view/3801

Open issues for partitioning clustering methods: an overview.

Autor: Barioni, Maria Camila N.¹, Razente, Humberto¹, Marcelino, Alessandra M. R.², Traina, Agma J. M.³, Traina, Caetano³

Publikováno v: WIREs: Data Mining & Knowledge Discovery. May2014, Vol. 4 Issue 3, p161-177. 17p.