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Aggregating Inconclusive Data Sets
SSRN Electronic Journal, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gabrielle Gayer +2 more
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Protecting Aggregate Genomic Data
Science, 2008A paper published recently in PLOS Genetics ([1][1]) describes a statistical method for resolving individual genotypes within a mix of DNA samples or data sets containing aggregate single-nucleotide polymorphism data.
Elias A, Zerhouni, Elizabeth G, Nabel
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2009
Abstract In the previous chapter we have seen how you can query databases to get result sets of individual instances. We shall now concern ourselves with generating data about groups of instances. We shall refer to this as aggregated data.
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Abstract In the previous chapter we have seen how you can query databases to get result sets of individual instances. We shall now concern ourselves with generating data about groups of instances. We shall refer to this as aggregated data.
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Clusters in Aggregated Health Data
2008Spatial information plays an important role in the identification of sources of outbreaks for many different health-related conditions. In the public health domain, as in many other domains, the available data is often aggregated into geographical regions, such as zip codes or municipalities.
Buchin, Kevin +5 more
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2009
Radio frequency identification (RFID) technology is gaining popularity for many IT related applications. Nevertheless, an immediate adoption of RFID solutions by the existing IT infrastructure is a formidable task because of the volume of data that can be collected in a large-scale deployment of RFIDs.
Dritan Bleco, Yannis Kotidis
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Radio frequency identification (RFID) technology is gaining popularity for many IT related applications. Nevertheless, an immediate adoption of RFID solutions by the existing IT infrastructure is a formidable task because of the volume of data that can be collected in a large-scale deployment of RFIDs.
Dritan Bleco, Yannis Kotidis
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Data Aggregation and Demand Prediction
SSRN Electronic Journal, 2019High accuracy in demand prediction allows retailers to effectively manage their inventory and mitigate stock-outs and excess supply. A typical retail setting involves predicting the demand for hundreds of items simultaneously, some with abundant historical data and others with scarce data. In “Data Aggregation and Demand Prediction,” Cohen, Zhang, and
Maxime C. Cohen, Renyu Zhang, Kevin Jiao
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CIN: Computers, Informatics, Nursing, 2011
Audrey L, Roberts, Jeanne P, Sewell
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Audrey L, Roberts, Jeanne P, Sewell
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2015
Chapter 4 considered a general WSN security problem. In this chapter we want to focus on a specific WSN service: The data collection. If each single node sends its own data to the collecting point in an independent way this will result in a huge waste of energy. To meet the severe energy constraints in WSNs, some researchers have proposed to use the in-
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Chapter 4 considered a general WSN security problem. In this chapter we want to focus on a specific WSN service: The data collection. If each single node sends its own data to the collecting point in an independent way this will result in a huge waste of energy. To meet the severe energy constraints in WSNs, some researchers have proposed to use the in-
openaire +1 more source