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Dataspaces

Known as: Data Spaces, Data space, Dataspace 
Dataspaces are an abstraction in data management that aim to overcome some of the problems encountered in data integration system. The aim is to… 
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Papers overview

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2014
2014
A new, data density based approach to clustering is presented which automatically determines the number of clusters. By using RDE… 
2012
2012
In e-commerce environments, trust is a dominating factor in seller selection. Most existing trust evaluation studies compute a… 
Review
2012
Review
2012
The chapter introduces the process of design of two upper-level ontologies—PROTON and UMBEL—into reference ontologies and their… 
2011
2011
Realistic human action recognition in videos has been a useful yet challenging task. Video shots of same actions may present huge… 
2008
2008
In this paper, we propose a semi-supervised learning (SSL) algorithm based on local and global regularization. In the local… 
2007
2007
Efficient information sharing is very important for emergency and rescue operations. Mobile ad-hoc Networks (MANETs) are often… 
2007
2007
In this paper, we propose a new nonlinear dimensionality reduction method by combining Locally Linear Embedding (LLE) with… 
Highly Cited
2006
Highly Cited
2006
Many clustering algorithms are not applicable to high-dimensional feature spaces, because the clusters often exist only in… 
2001
2001
. Computer technologies have been rapidly improving throughout the last couple of decades, and they are now at the stage of… 
1993
1993
Spatial data management has been an active area of research during the past two decades, and results of research into spatial…