Accelerating k-medoid-based algorithms through metric access methods von Barioni, Maria Camila N., Razente, Humberto L., Traina, Agma J.M., Traina, Caetano

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Metric Data Analysis Enhanced through Temporal Visualization von Bueno, Renato, Razente, Humberto L, Kaster, Daniel S, Barioni, Maria Camila N, Traina, Agma J M, Traina, Caetano

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On query result diversification von Vieira, M R, Razente, H L, Barioni, M C N, Hadjieleftheriou, M, Srivastava, D, Traina, C, Tsotras, V J

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DivDB: a system for diversifying query results von Vieira, Marcos R., Razente, Humberto L., Barioni, Maria C. N., Hadjieleftheriou, Marios, Srivastava, Divesh, Traina, Caetano, Tsotras, Vassilis J.

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Extending relational databases to support content-based retrieval of medical images von Araujo, M.R.B., Traina, C., Traina, A., Bueno, J.M., Razente, H.L.

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Using Visual Analysis to Weight Multiple Signatures to Discriminate Complex Data von Bueno, R., Kaster, D. S., Razente, H. L., Barioni, M. C. N., Traina, A. J. M., Traina, Caetano

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

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Storing Data Once in M-tree and PM-tree von Razente, Humberto, Nardini Barioni, Maria Camila

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Optimizing metric access methods for querying and mining complex data types von de Souza, Jessica Andressa, Razente, Humberto Luiz, N Barioni, Maria Camila

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Open issues for partitioning clustering methods: an overview von Barioni, Maria Camila N., Razente, Humberto, Marcelino, Alessandra M. R., Traina, Agma J. M., Traina Jr, Caetano

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Query Refinement for Diverse Top-k Selection von Campbell, Felix S., Silberstein, Alon, Stoyanovich, Julia, Moskovitch, Yuval

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Discovering Top-k Relevant and Diversified Rules von Fan, Wenfei, Han, Ziyan, Xie, Min, Zhang, Guangyi

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A New Efficient Approach towards k-means Clustering Algorithm von Purohit, Pallavi, Joshi, Ritesh

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