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CLUSTER
2006
IEEE
14 years 1 months ago
MSSG: A Framework for Massive-Scale Semantic Graphs
This paper presents a middleware framework for storing, accessing and analyzing massive-scale semantic graphs. The framework, MSSG, targets scale-free semantic graphs with O(1012 ...
Timothy D. R. Hartley, Ümit V. Çataly&...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 8 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
KDD
2008
ACM
234views Data Mining» more  KDD 2008»
14 years 7 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
ITNG
2008
IEEE
14 years 1 months ago
An Efficient Technique for Distance Computation in Road Networks
With recent advances in wireless communication and position technologies, it became possible to collect and record trajectories of moving objects. Thus, many services in road netw...
Xu Jianqiu, Victor Teixeira de Almeida, Qin Xiaoli...
EDBT
2008
ACM
167views Database» more  EDBT 2008»
14 years 7 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant