319 search results - page 9 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
100
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SIGMOD
2004
ACM
15 years 10 months ago
2004
ACM
Microarray datasets typically contain large number of columns but small number of rows. Association rules have been proved to be useful in analyzing such datasets. However, most e...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
The growth of bioinformatics has resulted in datasets with new characteristics. These datasets typically contain a large number of columns and a small number of rows. For example,...
182
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ICDE
2008
IEEE
15 years 11 months ago
2008
IEEE
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...