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ICDM
2002
IEEE
188views Data Mining» more  ICDM 2002»
14 years 15 days ago
A Comparative Study of RNN for Outlier Detection in Data Mining
We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly a...
Graham J. Williams, Rohan A. Baxter, Hongxing He, ...
ICDM
2005
IEEE
187views Data Mining» more  ICDM 2005»
14 years 1 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
IJSNET
2010
122views more  IJSNET 2010»
13 years 6 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
MOBIHOC
2007
ACM
14 years 7 months ago
Outlier detection in sensor networks
Outlier detection has many important applications in sensor networks, e.g., abnormal event detection, animal behavior change, etc. It is a difficult problem since global informati...
Bo Sheng, Qun Li, Weizhen Mao, Wen Jin
IJCNN
2006
IEEE
14 years 1 months ago
Prototype based outlier detection
— Outliers refer to “minority” data that are different from most other data. They usually disturb data mining process. But, sometimes they provide valuable information. Thus,...
Seungtaek Kim, Sungzoon Cho