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SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
13 years 9 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
BMCBI
2010
141views more  BMCBI 2010»
13 years 7 months ago
BioPhysConnectoR: Connecting Sequence Information and Biophysical Models
Background: One of the most challenging aspects of biomolecular systems is the understanding of the coevolution in and among the molecule(s). A complete, theoretical picture of th...
Franziska Hoffgaard, Philipp Weil, Kay Hamacher
ADC
2010
Springer
218views Database» more  ADC 2010»
13 years 2 months ago
Stock risk mining by news
Due to the fast delivery of news articles by news providers on the Internet and/or via news datafeeds, it becomes an important research issue of predicting the risk of stocks by u...
Qi Pan, Hong Cheng, Di Wu, Jeffrey Xu Yu, Yiping K...
CONCURRENCY
2010
172views more  CONCURRENCY 2010»
13 years 5 months ago
Modeling of tsunami waves and atmospheric swirling flows with graphics processing unit (GPU) and radial basis functions (RBF)
The faster growth curves in the speed of GPUs relative to CPUs in the past decade and its rapidly gained popularity have spawned a new area of development in computational technol...
Jessica Schmidt, Cécile Piret, Nan Zhang, B...
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 8 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...