Sciweavers

35 search results - page 1 / 7
» CURIO: A Fast Outlier and Outlier Cluster Detection Algorith...
Sort
View
AUSDM
2007
Springer
222views Data Mining» more  AUSDM 2007»
13 years 10 months ago
CURIO: A Fast Outlier and Outlier Cluster Detection Algorithm for Large Datasets
Aaron Ceglar, John F. Roddick, David M. W. Powers
DPD
2002
125views more  DPD 2002»
13 years 4 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
14 years 5 months ago
SCAN: a structural clustering algorithm for networks
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...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
SSD
2007
Springer
131views Database» more  SSD 2007»
13 years 10 months ago
Efficiently Mining Regional Outliers in Spatial Data
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...
Richard Frank, Wen Jin, Martin Ester
ICDE
2007
IEEE
134views Database» more  ICDE 2007»
13 years 11 months ago
Outlier Detection for Fine-grained Load Balancing in Database Clusters
Recent industry trends towards reducing the costs of ownership in large data centers emphasize the need for database system techniques for both automatic performance tuning and ef...
Jin Chen, Gokul Soundararajan, Madalin Mihailescu,...