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ICDE
2007
IEEE
148views Database» more  ICDE 2007»
14 years 10 months ago
Conquering the Divide: Continuous Clustering of Distributed Data Streams
Data is often collected over a distributed network, but in many cases, is so voluminous that it is impractical and undesirable to collect it in a central location. Instead, we mus...
Graham Cormode, S. Muthukrishnan, Wei Zhuang
KDD
2005
ACM
112views Data Mining» more  KDD 2005»
14 years 9 months ago
Model-based overlapping clustering
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh,...
BMCBI
2010
104views more  BMCBI 2010»
13 years 9 months ago
Response network analysis of differential gene expression in human epithelial lung cells during avian influenza infections
Background: The recent emergence of the H5N1 influenza virus from avian reservoirs has raised concern about future influenza strains of high virulence emerging that could easily i...
Ken Tatebe, Ahmet Zeytun, Ruy M. Ribeiro, Robert H...
EDBT
2008
ACM
167views Database» more  EDBT 2008»
14 years 9 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
EDBT
2002
ACM
123views Database» more  EDBT 2002»
14 years 9 months ago
UMiner: A Data Mining System Handling Uncertainty and Quality
In this paper we present UMiner, a new data mining system, which improves the quality of the data analysis results, handles uncertainty in the clustering & classification proce...
Christos Amanatidis, Maria Halkidi, Michalis Vazir...