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SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
13 years 7 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
ICPP
2009
IEEE
15 years 11 months ago
Speeding Up Distributed MapReduce Applications Using Hardware Accelerators
—In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system archi...
Yolanda Becerra, Vicenç Beltran, David Carr...
161
Voted
INCDM
2010
Springer
251views Data Mining» more  INCDM 2010»
15 years 8 months ago
Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining
Abstract. A framework for Multi Agent Data Mining (MADM) is described. The framework comprises a collection of agents cooperating to address given data mining tasks. The fundamenta...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
141
Voted
BMCBI
2008
134views more  BMCBI 2008»
15 years 4 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
119
Voted
SAC
2005
ACM
15 years 10 months ago
Rearranging data objects for efficient and stable clustering
When a partitional structure is derived from a data set using a data mining algorithm, it is not unusual to have a different set of outcomes when it runs with a different order of...
Gyesung Lee, Xindong Wu, Jinho Chon