81 search results - page 3 / 17 » Mining top-n local outliers in large databases |
PAKDD
2009
ACM
14 years 2 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...
ICDM
2005
IEEE
14 years 3 months ago
2005
IEEE
An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
SSD
2007
Springer
14 years 3 months ago
2007
Springer
With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
ICDE
2012
IEEE
12 years 7 days ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
KDD
2012
ACM
12 years 6 days ago
2012
ACM
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...