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» Honeypots: concepts, approaches, and challenges
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KDD
2009
ACM
211views Data Mining» more  KDD 2009»
14 years 9 months ago
Address standardization with latent semantic association
Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
14 years 8 months ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...
ALT
2004
Springer
14 years 5 months ago
Comparison of Query Learning and Gold-Style Learning in Dependence of the Hypothesis Space
Different formal learning models address different aspects of learning. Below we compare learning via queries—interpreting learning as a one-shot process in which the learner i...
Steffen Lange, Sandra Zilles
ICS
2009
Tsinghua U.
14 years 3 months ago
QuakeTM: parallelizing a complex sequential application using transactional memory
“Is transactional memory useful?” is the question that cannot be answered until we provide substantial applications that can evaluate its capabilities. While existing TM appli...
Vladimir Gajinov, Ferad Zyulkyarov, Osman S. Unsal...
NOMS
2008
IEEE
175views Communications» more  NOMS 2008»
14 years 2 months ago
Analysis of application performance and its change via representative application signatures
Abstract—Application servers are a core component of a multitier architecture that has become the industry standard for building scalable client-server applications. A client com...
Ningfang Mi, Ludmila Cherkasova, Kivanc M. Ozonat,...