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» Automatic feature selection for anomaly detection
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PAKDD
2005
ACM
117views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Automatic View Selection: An Application to Image Mining
Abstract. In this paper we discuss an image mining application of Egeria detection. Egeria is a type of weed found in various lands and water regions over San Joaquin and Sacrament...
Manoranjan Dash, Deepak Kolippakkam
96
Voted
BMCBI
2004
181views more  BMCBI 2004»
14 years 9 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
KDD
1998
ACM
170views Data Mining» more  KDD 1998»
15 years 1 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
ISBI
2006
IEEE
15 years 10 months ago
Automatic registration of mammograms using texture-based anisotropic features
In this paper, an automated registration framework is proposed to identify the differences between corresponding mammographic images. The deformation between a pair of mammograms ...
Kexiang Wang, Hong Qin, Paul R. Fisher, Wei Zhao
99
Voted
IMCSIT
2010
14 years 6 months ago
Automatic Detection of Prominent Words in Russian Speech
Abstract--An experimental research with a goal to automatically detect prominent words in Russian speech is presented in this paper. The proposed automatic prominent word detection...
Daniil Kocharov