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» Tri-plots: scalable tools for multidimensional data mining
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ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
13 years 11 months ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos
FGCS
2008
148views more  FGCS 2008»
13 years 6 months ago
Grid-enabling data mining applications with DataMiningGrid: An architectural perspective
The DataMiningGrid system has been designed to meet the requirements of modern and distributed data mining scenarios. Based on the Globus Toolkit and other open technology and sta...
Vlado Stankovski, Martin T. Swain, Valentin Kravts...
ICDM
2008
IEEE
141views Data Mining» more  ICDM 2008»
14 years 1 months ago
Scalable Tensor Decompositions for Multi-aspect Data Mining
Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts of data with multiple aspects and high dimensiona...
Tamara G. Kolda, Jimeng Sun
ICDT
2001
ACM
124views Database» more  ICDT 2001»
13 years 11 months ago
Mining for Empty Rectangles in Large Data Sets
Abstract. Many data mining approaches focus on the discovery of similar (and frequent) data values in large data sets. We present an alternative, but complementary approach in whic...
Jeff Edmonds, Jarek Gryz, Dongming Liang, Ren&eacu...
DOLAP
2006
ACM
14 years 21 days ago
Enhanced mining of association rules from data cubes
On-line analytical processing (OLAP) provides tools to explore and navigate into data cubes in order to extract interesting information. Nevertheless, OLAP is not capable of expla...
Riadh Ben Messaoud, Sabine Loudcher Rabaséd...