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» Advanced Evasive Data Storage in Sensor Networks
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 7 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
CORR
2008
Springer
185views Education» more  CORR 2008»
13 years 7 months ago
Realizing Fast, Scalable and Reliable Scientific Computations in Grid Environments
The practical realization of managing and executing large scale scientific computations efficiently and reliably is quite challenging. Scientific computations often invo...
Yong Zhao, Ioan Raicu, Ian T. Foster, Mihael Hateg...
IDA
2011
Springer
13 years 2 months ago
Ubiquitous Knowledge Discovery
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
João Gama, Michael May
CLADE
2003
IEEE
14 years 23 days ago
vGrid: A Framework For Building Autonomic Applications
With rapid technological advances in network infrastructure, programming languages, compatible component interfaces and so many more areas, today the computational Grid has evolve...
Bithika Khargharia, Salim Hariri, Manish Parashar,...
CGA
2008
13 years 7 months ago
Mobile 3D City Maps
ion and abstraction. By the end of the 20th century, technology had advanced to the point where computerized methods had revolutionized surveying and mapmaking practices. Now, the ...
Antti Nurminen