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103
Voted
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
15 years 10 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
69
Voted
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
15 years 10 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
101
Voted
CVPR
2004
IEEE
15 years 11 months ago
An Unsupervised, Online Learning Framework for Moving Object Detection
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...
Vinod Nair, James J. Clark
ACSAC
2009
IEEE
15 years 4 months ago
Online Sketching of Network Flows for Real-Time Stepping-Stone Detection
Abstract—We present an efficient and robust stepping-stone detection scheme based on succinct packet-timing sketches of network flows. The proposed scheme employs an online alg...
Baris Coskun, Nasir D. Memon
ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
15 years 3 months ago
Entropy-based Concept Shift Detection
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
Peter Vorburger, Abraham Bernstein