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SSDBM
2006
IEEE
123views Database» more  SSDBM 2006»
14 years 2 months ago
Mining Hierarchies of Correlation Clusters
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
Elke Achtert, Christian Böhm, Peer Kröge...
SIGMOD
2006
ACM
194views Database» more  SIGMOD 2006»
14 years 9 months ago
Graph-based synopses for relational selectivity estimation
This paper introduces the Tuple Graph (TuG) synopses, a new class of data summaries that enable accurate selectivity estimates for complex relational queries. The proposed summari...
Joshua Spiegel, Neoklis Polyzotis
ICCV
2011
IEEE
12 years 9 months ago
Means in spaces of tree-like shapes
The mean is often the most important statistic of a dataset as it provides a single point that summarizes the entire set. While the mean is readily defined and computed in Euclid...
Aasa Feragen, Søren Hauberg, Mads Nielsen, Franç...
ANNPR
2008
Springer
13 years 11 months ago
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Jean-François Connolly, Eric Granger, Rober...
IISWC
2006
IEEE
14 years 2 months ago
MineBench: A Benchmark Suite for Data Mining Workloads
Abstract— Data mining constitutes an important class of scientific and commercial applications. Recent advances in data extraction techniques have created vast data sets, which ...
Ramanathan Narayanan, Berkin Özisikyilmaz, Jo...