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» Interactive Exploration of Semantic Clusters
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EDBT
2010
ACM
170views Database» more  EDBT 2010»
13 years 11 months ago
Augmenting OLAP exploration with dynamic advanced analytics
Online Analytical Processing (OLAP) is a popular technique for explorative data analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is used to explore and ana...
Benjamin Leonhardi, Bernhard Mitschang, Rubé...
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
13 years 12 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
TVCG
2008
125views more  TVCG 2008»
13 years 7 months ago
GrouseFlocks: Steerable Exploration of Graph Hierarchy Space
Several previous systems allow users to interactively explore a large input graph through cuts of a superimposed hierarchy. This hierarchy is often created using clustering algorit...
Daniel Archambault, Tamara Munzner, David Auber
KI
2007
Springer
14 years 1 months ago
Semantic Graph Visualisation for Mobile Semantic Web Interfaces
Information visualisation benefits from the Semantic Web: multimodal mobile interfaces to the Semantic Web offer access to complex knowledge and information structures. Natural l...
Daniel Sonntag, Philipp Heim
NLE
2011
12 years 10 months ago
Modeling reciprocity in social interactions with probabilistic latent space models
Reciprocity is a pervasive concept that plays an important role in governing people’s behavior, judgments, and thus their social interactions. In this paper we present an analys...
Roxana Girju, Michael J. Paul