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ICDE
2009
IEEE
214views Database» more  ICDE 2009»
16 years 9 months ago
Ranking with Uncertain Scores
Large databases with uncertain information are becoming more common in many applications including data integration, location tracking, and Web search. In these applications, ranki...
Mohamed A. Soliman, Ihab F. Ilyas
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 7 months ago
Frequent pattern mining with uncertain data
In this paper, we will examine the frequent pattern mining for uncertain data sets. We will show how the broad classes of algorithms can be extended to the uncertain data setting....
Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wan...
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 7 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic
SP
2009
IEEE
262views Security Privacy» more  SP 2009»
16 years 1 months ago
Automatic Reverse Engineering of Malware Emulators
Malware authors have recently begun using emulation technology to obfuscate their code. They convert native malware binaries into bytecode programs written in a randomly generated...
Monirul I. Sharif, Andrea Lanzi, Jonathon T. Giffi...
ADC
2009
Springer
140views Database» more  ADC 2009»
16 years 1 months ago
Score Aggregation Techniques in Retrieval Experimentation
Comparative evaluations of information retrieval systems are based on a number of key premises, including that representative topic sets can be created, that suitable relevance ju...
Sri Devi Ravana, Alistair Moffat