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PODS
2005
ACM
151views Database» more  PODS 2005»
16 years 5 months ago
Estimating arbitrary subset sums with few probes
Suppose we have a large table T of items i, each with a weight wi, e.g., people and their salary. In a general preprocessing step for estimating arbitrary subset sums, we assign e...
Noga Alon, Nick G. Duffield, Carsten Lund, Mikkel ...
PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 5 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
EDBT
2006
ACM
120views Database» more  EDBT 2006»
16 years 5 months ago
Similarity Search on Time Series Based on Threshold Queries
Similarity search in time series data is required in many application fields. The most prominent work has focused on similarity search considering either complete time series or si...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
EDBT
2008
ACM
167views Database» more  EDBT 2008»
16 years 5 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
CIVR
2009
Springer
583views Image Analysis» more  CIVR 2009»
16 years 5 months ago
Mining from Large Image Sets
So far, most image mining was based on interactive querying. Although such querying will remain important in the future, several applications need image mining at such wide scale...
Luc J. Van Gool, Michael D. Breitenstein, Stephan ...
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