319 search results - page 8 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
IJIT
2004
14 years 11 months ago
2004
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
ICDE
2010
IEEE
15 years 2 months ago
2010
IEEE
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
AUSAI
2003
Springer
15 years 3 months ago
2003
Springer
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
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SIGMOD
2008
ACM
15 years 10 months ago
2008
ACM
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...