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ICDM
2002
IEEE
188views Data Mining» more  ICDM 2002»
13 years 9 months 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, ...
SDM
2012
SIAM
234views Data Mining» more  SDM 2012»
11 years 7 months ago
On Evaluation of Outlier Rankings and Outlier Scores
Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...
Erich Schubert, Remigius Wojdanowski, Arthur Zimek...
KDD
2012
ACM
263views Data Mining» more  KDD 2012»
11 years 7 months ago
Integrating community matching and outlier detection for mining evolutionary community outliers
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...
Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
11 years 7 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
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 ...
Ninh Pham, Rasmus Pagh
SDM
2011
SIAM
203views Data Mining» more  SDM 2011»
12 years 7 months ago
Interpreting and Unifying Outlier Scores
Outlier scores provided by different outlier models differ widely in their meaning, range, and contrast between different outlier models and, hence, are not easily comparable o...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...