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DSN
2008
IEEE
14 years 2 months ago
Using likely program invariants to detect hardware errors
In the near future, hardware is expected to become increasingly vulnerable to faults due to continuously decreasing feature size. Software-level symptoms have previously been used...
Swarup Kumar Sahoo, Man-Lap Li, Pradeep Ramachandr...
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 8 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
EVOW
2006
Springer
13 years 11 months ago
Robust SVM-Based Biomarker Selection with Noisy Mass Spectrometric Proteomic Data
Abstract. Computational analysis of mass spectrometric (MS) proteomic data from sera is of potential relevance for diagnosis, prognosis, choice of therapy, and study of disease act...
Elena Marchiori, Connie R. Jimenez, Mikkel West-Ni...
CEAS
2007
Springer
13 years 12 months ago
Learning Fast Classifiers for Image Spam
Recently, spammers have proliferated "image spam", emails which contain the text of the spam message in a human readable image instead of the message body, making detect...
Mark Dredze, Reuven Gevaryahu, Ari Elias-Bachrach
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 13 days ago
Malware detection using statistical analysis of byte-level file content
Commercial anti-virus software are unable to provide protection against newly launched (a.k.a “zero-day”) malware. In this paper, we propose a novel malware detection techniqu...
S. Momina Tabish, M. Zubair Shafiq, Muddassar Faro...