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SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
15 years 12 months ago
Clustering Objects on a Spatial Network
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of clustering objects, which lie on edges of a large weighted spatial network. Th...
Man Lung Yiu, Nikos Mamoulis
NIPS
1997
15 years 7 months ago
Active Data Clustering
Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...
Thomas Hofmann, Joachim M. Buhmann
ICASSP
2011
IEEE
14 years 10 months ago
Interference alignment in clustered ad hoc networks: High reliability regime and per-cluster aloha
Wireless networks are fundamentally limited by the intensity of the received signals and the mutual interference caused by many concurrent transmissions. We consider large wireles...
Roland Tresch, Giusi Alfano, Maxime Guillaud
PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
15 years 10 months ago
OPTICS-OF: Identifying Local Outliers
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
IDEAL
2009
Springer
16 years 1 months ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin