301 search results - page 7 / 61 » Metrics for Mining Multisets |
DAC
2000
ACM
14 years 8 months ago
2000
ACM
We describe METRICS, a system to recover design productivity via new infrastructure for design process optimization. METRICS seeks to treat system design and implementation as a s...
SISAP
2008
IEEE
14 years 2 months ago
2008
IEEE
Similarity search has been proved suitable for searching in very large collections of unstructured data objects. We are interested in efficient parallel query processing under si...
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...