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KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 12 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 16 days 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...
ICDCS
2011
IEEE
12 years 7 months ago
SpotME If You Can: Randomized Responses for Location Obfuscation on Mobile Phones
Abstract—Nowadays companies increasingly aggregate location data from different sources on the Internet to offer locationbased services such as estimating current road traffic c...
Daniele Quercia, Ilias Leontiadis, Liam McNamara, ...
KDD
2010
ACM
304views Data Mining» more  KDD 2010»
13 years 6 months ago
Automatic malware categorization using cluster ensemble
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Today...
Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang
WWW
2002
ACM
14 years 8 months ago
Learning to map between ontologies on the semantic web
Ontologies play a prominent role on the Semantic Web. They make possible the widespread publication of machine understandable data, opening myriad opportunities for automated info...
AnHai Doan, Jayant Madhavan, Pedro Domingos, Alon ...