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» A new approach to data driven clustering
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VLDB
2002
ACM
126views Database» more  VLDB 2002»
14 years 9 months ago
FAS - A Freshness-Sensitive Coordination Middleware for a Cluster of OLAP Components
Data warehouses offer a compromise between freshness of data and query evaluation times. However, a fixed preference ratio between these two variables is too undifferentiated. Wit...
Uwe Röhm, Klemens Böhm, Hans-Jörg S...
PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
15 years 3 months ago
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
Yu Qian, Kang Zhang, Wei Lai
PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
15 years 3 months ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
15 years 2 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. ...
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 10 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...