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» Data Level Inference Detection in Database Systems
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WWW
2004
ACM
16 years 1 months ago
Composite events for xml
Recently, active behavior has received attention in the XML field to automatically react to occurred events. Aside from proprietary approaches for enriching XML with active behavi...
Martin Bernauer, Gerti Kappel, Gerhard Kramler
KI
2007
Springer
15 years 6 months ago
Location-Based Activity Recognition
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiď¬...
Dieter Fox
JCIT
2010
156views more  JCIT 2010»
14 years 7 months ago
Intelligent Monitoring Approach for Pipeline Defect Detection from MFL Inspection
Artificial Neural Networks(ANNS) have top level of capability to progress the estimation of cracks in metal tubes. The aim of this paper is to propose an algorithm to identify mod...
Saeedreza Ehteram, Seyed Zeinolabedin Moussavi, Mo...
BMCBI
2007
104views more  BMCBI 2007»
15 years 22 days ago
A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and de
Background: Yu et al. (BMC Bioinformatics 2007,8: 145+) have recently compared the performance of several methods for the detection of genomic amplification and deletion breakpoin...
Oscar M. Rueda, Ramón Díaz-Uriarte
120
Voted
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 1 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