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PAKDD
2005
ACM
184views Data Mining» more  PAKDD 2005»
15 years 11 months ago
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis
Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...
Luo Si, Rong Jin
ICICS
2009
Springer
16 years 24 days ago
Assessing Security Risk to a Network Using a Statistical Model of Attacker Community Competence
We propose a novel approach for statistical risk modeling of network attacks that lets an operator perform risk analysis using a data model and an impact model on top of an attack ...
Tomas Olsson
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
16 years 17 days ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 10 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
DOLAP
2003
ACM
15 years 11 months ago
Using AutoMed metadata in data warehousing environments
Metadata management is an essential factor in data warehousing. In data warehousing environments, data is transformed and integrated into a single database from multiple autonomou...
Hao Fan, Alexandra Poulovassilis