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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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Related topics

Related topics

8 relations
Conceptual graphData miningNeuromancerSemantic integration

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Hybrid clustering based fuzzy structure for vibration control - Part 1: A novel algorithm for building neuro-fuzzy system
2013
2013
Tile based visual analytics for Twitter big data exploratory analysis
New tools for raw data exploration and characterization of “big data” sets are required to suggest initial hypotheses for testing… 
2012
2012
Using Hurst and Lyapunov Exponent For Hyperspectral Image Feature Extraction
Hyperspectral image processing has attracted high attention in remote sensing fields. One of the main issues is to develop… 
Review
2012
Review
2012
Survey of Recent Clustering Techniques in Data Mining
Cluster analysis or clustering is the task of assigning a set of objects into groups called clusters. Main task of clustering are… 
Highly Cited
2008
Highly Cited
2008
Range queries on structured overlay networks
Highly Cited
2007
Highly Cited
2007
Towards Graph Containment Search and Indexing
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g e D such that q contains g… 
Highly Cited
2006
Highly Cited
2006
Finding Hierarchies of Subspace Clusters
Many clustering algorithms are not applicable to high-dimensional feature spaces, because the clusters often exist only in… 
Highly Cited
1998
Highly Cited
1998
The R/sub a/*-tree: an improved R*-tree with materialized data for supporting range queries on OLAP-data
OLAP applications make use of fast indexes and materialization of data. Most research treats just one topic. Either the… 
Highly Cited
1996
Highly Cited
1996
An approach to non-linear principal components analysis using radially symmetric kernel functions
An approach to non-linear principal components using radially symmetric kernel basis functions is described. The procedure… 
Review
1988
Review
1988
Applications of neural-network (NN) signal processing in brain research
The application is reviewed of neural-network (NN) signal processing methods to neurological waveform detection and pattern… 
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