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SP
1998
IEEE
173views Security Privacy» more  SP 1998»
15 years 11 months ago
An Automated Approach for Identifying Potential Vulnerabilities in Software
This paper presents results from analyzing the vulnerability of security-critical software applications to malicious threats and anomalous events using an automated fault injectio...
Anup K. Ghosh, Tom O'Connor, Gary McGraw
SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
16 years 3 months ago
Detection and Characterization of Anomalies in Multivariate Time Series.
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
16 years 1 months ago
Document-Word Co-regularization for Semi-supervised Sentiment Analysis
The goal of sentiment prediction is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. One can pose sentim...
Vikas Sindhwani, Prem Melville
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
16 years 25 days ago
Predictive Model of Insolvency Risk for Australian Corporations
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
Rohan A. Baxter, Mark Gawler, Russell Ang
GFKL
2007
Springer
139views Data Mining» more  GFKL 2007»
16 years 24 days ago
The Noise Component in Model-based Cluster Analysis
The so-called noise-component has been introduced by Banfield and Raftery (1993) to improve the robustness of cluster analysis based on the normal mixture model. The idea is to ad...
Christian Hennig, Pietro Coretto