Sciweavers

22 search results - page 1 / 5
» DBOD-DS: Distance Based Outlier Detection for Data Streams
Sort
View
DEXA
2010
Springer
266views Database» more  DEXA 2010»
13 years 5 months ago
DBOD-DS: Distance Based Outlier Detection for Data Streams
Data stream is a newly emerging data model for applications like environment monitoring, Web click stream, network traffic monitoring, etc. It consists of an infinite sequence of d...
Md. Shiblee Sadik, Le Gruenwald
ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
13 years 2 months ago
Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams
The problem of finding outliers in data has broad applications in areas as diverse as data cleaning, fraud detection, network monitoring, invasive species monitoring, etc. While th...
Vit Niennattrakul, Eamonn J. Keogh, Chotirat Ann R...
ICDM
2005
IEEE
187views Data Mining» more  ICDM 2005»
13 years 10 months ago
Parallel Algorithms for Distance-Based and Density-Based Outliers
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...
Elio Lozano, Edgar Acuña
PAKDD
2009
ACM
149views Data Mining» more  PAKDD 2009»
13 years 9 months ago
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
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...
Ke Zhang, Marcus Hutter, Huidong Jin
IJSNET
2010
122views more  IJSNET 2010»
13 years 3 months ago
Ensuring high sensor data quality through use of online outlier detection techniques
: Data collected by Wireless Sensor Networks (WSNs) are inherently unreliable. Therefore, to ensure high data quality, secure monitoring, and reliable detection of interesting and ...
Yang Zhang, Nirvana Meratnia, Paul J. M. Havinga