4 citations · 8 across the 4 of their papers we have counts for
5 papers
New advances in enumerative biclustering algorithms with online partitioning
Rosana Veroneze, Fernando J. Von Zuben
This paper further extends RIn-Close_CVC, a biclustering algorithm capable of performing an efficient, complete, correct and non-redundant enumeration of maximal biclusters with co…
RIn-Close_CVC2: an even more efficient enumerative algorithm for biclustering of numerical datasets
Rosana Veroneze, Fernando J. Von Zuben
RIn-Close_CVC is an efficient (take polynomial time per bicluster), complete (find all maximal biclusters), correct (all biclusters attend the user-defined level of consistency) an…
Efficient mining of maximal biclusters in mixed-attribute datasets
Rosana Veroneze, Fernando J. Von Zuben
This paper presents a novel enumerative biclustering algorithm to directly mine all maximal biclusters in mixed-attribute datasets (containing both numerical and categorical attrib…
On bicluster aggregation and its benefits for enumerative solutions
Saullo Haniell Galvão de Oliveira, Rosana Veroneze, Fernando José Von Zuben
Biclustering involves the simultaneous clustering of objects and their attributes, thus defining local two-way clustering models. Recently, efficient algorithms were conceived to e…
Enumerating all maximal biclusters in numerical datasets
Rosana Veroneze, Arindam Banerjee, Fernando J. Von Zuben
Biclustering has proved to be a powerful data analysis technique due to its wide success in various application domains. However, the existing literature presents efficient solutio…