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» Similarity measures for multidimensional data
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VLSISP
2002
124views more  VLSISP 2002»
15 years 4 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
ALMOB
2008
131views more  ALMOB 2008»
15 years 4 months ago
Fast algorithms for computing sequence distances by exhaustive substring composition
The increasing throughput of sequencing raises growing needs for methods of sequence analysis and comparison on a genomic scale, notably, in connection with phylogenetic tree reco...
Alberto Apostolico, Olgert Denas
131
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SIGIR
2009
ACM
15 years 11 months ago
Spam filter evaluation with imprecise ground truth
When trained and evaluated on accurately labeled datasets, online email spam filters are remarkably effective, achieving error rates an order of magnitude better than classifie...
Gordon V. Cormack, Aleksander Kolcz
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
16 years 1 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
BMCBI
2006
195views more  BMCBI 2006»
15 years 4 months ago
Hubs of knowledge: using the functional link structure in Biozon to mine for biologically significant entities
Background: Existing biological databases support a variety of queries such as keyword or definition search. However, they do not provide any measure of relevance for the instance...
Paul Shafer, Timothy Isganitis, Golan Yona