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» Crime Pattern Detection Using Data Mining
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KDD
2009
ACM
179views Data Mining» more  KDD 2009»
16 years 28 days ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
16 years 7 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
159
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TCS
2008
15 years 6 months ago
Detection of subtle variations as consensus motifs
We address the problem of detecting consensus motifs, that occur with subtle variations, across multiple sequences. These are usually functional domains in DNA sequences such as t...
Matteo Comin, Laxmi Parida
PCM
2004
Springer
91views Multimedia» more  PCM 2004»
15 years 11 months ago
A Rapid Scheme for Slow-Motion Replay Segment Detection
Abstract. Efficient data mining for digital video has become increasingly important in recent years. In this paper, we present a new scheme for automatic detection of slow-motion r...
Wei-Hong Chuang, Dun-Yu Hsiao, Soo-Chang Pei, Home...
IBPRIA
2007
Springer
16 years 9 days ago
Known Unknowns: Novelty Detection in Condition Monitoring
In time-series analysis it is often assumed that observed data can be modelled as being derived from a number of regimes of dynamics, as e.g. in a Switching Kalman Filter (SKF) [1,...
John A. Quinn, Christopher K. I. Williams