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» Anomaly detection by finding feature distribution outliers
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KDD
2007
ACM
182views Data Mining» more  KDD 2007»
14 years 7 months ago
Cleaning disguised missing data: a heuristic approach
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
BMCBI
2005
120views more  BMCBI 2005»
13 years 7 months ago
Robust detection of periodic time series measured from biological systems
Background: Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectr...
Miika Ahdesmäki, Harri Lähdesmäki, ...
TIFS
2008
142views more  TIFS 2008»
13 years 7 months ago
An FPGA-Based Network Intrusion Detection Architecture
Abstract--Network intrusion detection systems (NIDSs) monitor network traffic for suspicious activity and alert the system or network administrator. With the onset of gigabit netwo...
Abhishek Das, David Nguyen, Joseph Zambreno, Gokha...
ICDM
2006
IEEE
135views Data Mining» more  ICDM 2006»
14 years 1 months ago
SAXually Explicit Images: Finding Unusual Shapes
Among the visual features of multimedia content, shape is of particular interest because humans can often recognize objects solely on the basis of shape. Over the past three decad...
Li Wei, Eamonn J. Keogh, Xiaopeng Xi
TIP
2008
169views more  TIP 2008»
13 years 7 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht