Sciweavers

228 search results - page 5 / 46
» Efficiently Mining Regional Outliers in Spatial Data
Sort
View
JIPS
2010
154views more  JIPS 2010»
13 years 2 months ago
Mining Spatio-Temporal Patterns in Trajectory Data
Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approac...
Juyoung Kang 0002, Hwan-Seung Yong
PRL
2010
205views more  PRL 2010»
13 years 2 months ago
Mining outliers with faster cutoff update and space utilization
It is desirable to find unusual data objects by Ramaswamy et al's distance-based outlier definition because only a metric distance function between two objects is required. It...
Chi-Cheong Szeto, Edward Hung
ECAI
2010
Springer
13 years 8 months ago
Mining Outliers with Adaptive Cutoff Update and Space Utilization (RACAS)
Recently the efficiency of an outlier detection algorithm ORCA was improved by RCS (Randomization with faster Cutoff update and Space utilization after pruning), which changes the ...
Chi-Cheong Szeto, Edward Hung
DPD
2002
125views more  DPD 2002»
13 years 7 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
2006
ACM
142views Data Mining» more  KDD 2006»
14 years 8 months ago
Mining distance-based outliers from large databases in any metric space
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
Yufei Tao, Xiaokui Xiao, Shuigeng Zhou