319 search results - page 10 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
156
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VLDB
2008
ACM
15 years 10 months ago
2008
ACM
Besides traditional domains (e.g., resource allocation, data mining applications), algorithms for medoid computation and related problems will play an important role in numerous e...
BMCBI
2008
14 years 10 months ago
2008
Background: With the amount of influenza genome sequence data growing rapidly, researchers need machine assistance in selecting datasets and exploring the data. Enhanced visualiza...
105
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SIGMOD
1998
ACM
15 years 2 months ago
1998
ACM
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
KDD
2009
ACM
15 years 4 months ago
2009
ACM
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
CIKM
2008
Springer
14 years 12 months ago
2008
Springer
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...