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» Clustering Genes Using Heterogeneous Data Sources
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JUCS
2010
179views more  JUCS 2010»
15 years 1 months ago
Ontology Visualization: Tools and Techniques for Visual Representation of Semi-Structured Meta-Data
: Ontologies are used to represent a variety of domain knowledge and data collections, scopes, viewpoints and linked heterogeneous information sources. They range from simple topol...
Monika Lanzenberger, Jennifer Sampson, Markus Rest...
CORR
2010
Springer
224views Education» more  CORR 2010»
15 years 3 months ago
A Cluster Based Replication Architecture for Load Balancing in Peer-to-Peer Content Distribution
In P2P systems, large volumes of data are declustered naturally across a large number of peers. But it is very difficult to control the initial data distribution because every use...
S. Ayyasamy, S. N. Sivanandam

Publication
197views
13 years 11 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...
AVI
2004
15 years 4 months ago
SWAPit: a multiple views paradigm for exploring associations of texts and structured data
Visualization interfaces that offer multiple coordinated views on a particular set of data items are useful for navigating and exploring complex information spaces. In this paper ...
Andreas Becks, Christian Seeling
EDBT
2012
ACM
315views Database» more  EDBT 2012»
13 years 5 months ago
Sieve: linked data quality assessment and fusion
The Web of Linked Data grows rapidly and already contains data originating from hundreds of data sources. The quality of data from those sources is very diverse, as values may be ...
Pablo N. Mendes, Hannes Mühleisen, Christian ...