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ICTAI
2007
IEEE
14 years 5 months ago
A Scalable and Efficient Outlier Detection Strategy for Categorical Data
Anna Koufakou, Enrique G. Ortiz, Michael Georgiopo...
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
15 years 8 days ago
Trajectory Outlier Detection: A Partition-and-Detect Framework
Outlier detection has been a popular data mining task. However, there is a lack of serious study on outlier detection for trajectory data. Even worse, an existing trajectory outlie...
Jae-Gil Lee, Jiawei Han, Xiaolei Li
DATAMINE
2006
164views more  DATAMINE 2006»
13 years 11 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
COMAD
2008
14 years 10 days ago
Disk-Based Sampling for Outlier Detection in High Dimensional Data
We propose an efficient sampling based outlier detection method for large high-dimensional data. Our method consists of two phases. In the first phase, we combine a "sampling...
Timothy de Vries, Sanjay Chawla, Pei Sun, Gia Vinh...
BMCBI
2010
143views more  BMCBI 2010»
13 years 11 months ago
Shape based kinetic outlier detection in real-time PCR
Background: Real-time PCR has recently become the technique of choice for absolute and relative nucleic acid quantification. The gold standard quantification method in real-time P...
Davide Sisti, Michele Guescini, Marco B. L. Rocchi...