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It counts the number of data patterns with certain characteristics in data segments.
The representation of personal characteristics in data sets, together with developing technologies and systems for identity management, in turn change how we are identified.
These characteristics in data can be dealt with the proposed log transformation.
Future studies will explore these characteristics in data sets of other nuclear markers, in order to assess how well they correlate with phylogenetic utility.
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Database differences in population characteristics and in data definitions, recording, quality and completeness had a minimal impact on key statistical outputs.
The third step of the analysis is the likelihood evaluation of the cis-element candidates by association rule analysis, which is a data mining method designed to discover significant relationships between pairs of characteristics observed in data sets.
Furthermore, the databases draw on different health sectors for information on patient characteristics: in Denmark, data on diagnoses originate from hospital discharge summaries, while in the UK, data on diagnoses originate from general practitioner records.
Data preprocessing to remove uncertainty characteristics in the data is normally required before performing any further analysis.
Data normalization is generally performed by finding certain definable characteristics in the data that with appropriate calculations could be used to unify dissimilar data sets.
Provincial abattoir condemnation data may be useful for integration into a food animal syndromic surveillance system; however, there are inherent characteristics in the data which can bias the results of quantitative cluster detection methods.
Versatile computing environments and heterogeneous resources are distinguishing characteristics in big data era [8, 9].
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