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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 8 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
SAC
2004
ACM
14 years 1 months ago
Knowledge discovery from doctor-patient relationship
The relationship between doctors and their patients is gaining more and more importance in the health care providing. It determines the compliance of the treatment and a part of t...
Jesús S. Aguilar-Ruiz, Raquel Costa, Federi...
IH
2007
Springer
14 years 2 months ago
YASS: Yet Another Steganographic Scheme That Resists Blind Steganalysis
Abstract. A new, simple, approach for active steganography is proposed in this paper that can successfully resist recent blind steganalysis methods, in addition to surviving distor...
Kaushal Solanki, Anindya Sarkar, B. S. Manjunath
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 8 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
INFOCOM
2009
IEEE
14 years 2 months ago
Dependable and Secure Sensor Data Storage with Dynamic Integrity Assurance
Abstract—Recently, distributed data storage has gained increasing popularity for efficient and robust data management in wireless sensor networks (WSNs). But the distributed arc...
Qian Wang, Kui Ren, Wenjing Lou, Yanchao Zhang