719 search results - page 5 / 144 » Efficient Algorithms for Mining Outliers from Large Data Set... |
PAKDD
2009
ACM
13 years 10 months ago
2009
ACM
Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection met...
VLDB
2005
ACM
14 years 5 months ago
2005
ACM
Abstract. The outlier detection problem has important applications in the field of fraud detection, network robustness analysis, and intrusion detection. Most such applications are...
DMKD
1997
ACM
13 years 9 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
KDD
2009
ACM
14 years 3 days 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 ...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Frequent coherent subgraphscan provide valuable knowledgeabout the underlying internal structure of a graph database, and mining frequently occurring coherent subgraphs from large...