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SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
15 years 8 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
HIS
2001
15 years 7 months ago
Linear Discriminant Text Classification in High Dimension
Abstract. Linear Discriminant (LD) techniques are typically used in pattern recognition tasks when there are many (n >> 104 ) datapoints in low-dimensional (d < 102 ) spac...
András Kornai, J. Michael Richards
IADIS
2003
15 years 7 months ago
Learning with Educational Hypermedia Software: The Impact of Signals in Animations
The present study investigated the instructional value of signals for learning while comparing two animations that differed solely in the presence / absence of visual signals. Sig...
Thomas Huk, Mattias Steinke, Christian Floto
BMCBI
2010
113views more  BMCBI 2010»
15 years 6 months ago
Prediction of FAD interacting residues in a protein from its primary sequence using evolutionary information
Background: Flavin binding proteins (FBP) plays a critical role in several biological functions such as electron transport system (ETS). These flavoproteins contain very tightly b...
Nitish K. Mishra, Gajendra P. S. Raghava
IJNSEC
2008
137views more  IJNSEC 2008»
15 years 6 months ago
Baseline Profile Stability for Network Anomaly Detection
Network attacks are commonplace in the Internet. One of the defense mechanisms against the network attacks is using a baseline profile established during normal operation to detec...
Yoohwan Kim, Ju-Yeon Jo, Kyunghee Kim Suh