Examples of using Data classification in English and their translations into Portuguese
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Computer
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Data classification.
Times change data classification.
Stronger data classification identifies and classifies data that is important to your organization.
Edge dynamics in complex networks for data classification, BE.EP. DD.
Apply proper data classification policies and take steps to protect important information.
Regarding the operationalization of the data, we followed the steps of organizing the data, data classification and final analysis.
Defining common data classification levels.
Data classification of lingual frenulum in cadavers, proposed by Oliveira, Lindoso, Coelho 2010 are shown in Table 3.
A comparison of the application of data classification computational methods to the….
Decoding data classification is transforming gross data of the text into themes, used for categorization.
As for the data operationalization process,the following steps were adopted: data organization, data classification and final analysis.
As far as the data classification, two criteria were used:"types and tokens" plus the"produced parts of speech.
In compliance with the steps of thematic analysis, there was the reading of the material,organization of reports and data classification.
Microsoft Data Classification Toolkit is designed to help enable an organization to identify, classify, and protect data on their file servers.
This thesis makes use of statistical analysis in two different applications: data classification and image processing targeted at document image binarization.
Data classification: It is a requirement of the ISO/IEC 27001 norm for the information to be classified according to its importance, giving an adequate security level accordingly.
Then the relevant structures were identified in the data classification regarding the nursing care process in the FHS and the interfaces with the public health system.
Data classification can be applied in many real problems such as: recognizing patterns in images, differentiating species of plants, classify benign and malignant tumors, among others.
The discrepancy between the values is marked andit happens because there is no uniformity on data classification. Some authors report all injuries and others report just that of clinical relevance.
In the data classification, skimming over the material enabled the apprehension of the relevant structures and central ideas that gradually built the empirical categories of the research.
Industry-leading encryption to secure data centres, firewalls,anti-virus software and data classification mean that your money is secure with NETELLER.
The data classification is a data mining task with relevant utilization in various areas of application, such as medicine, industry, marketing, financial market, teaching and many others.
Using kde, it is possible to find new hyperplanes of separation more consistently and, from there, lead to data classification with accuracy rates higher than originally technique.
In data classification, the collected material was associated with the theoretical framework, based on exhaustive and repetitive reading of the texts, with a view to apprehending relevant structures.
One of the most widely used data classification algorithms in the literature is the support vector machine which, despite possessing positive features in its application, is sensitive to control parameters.
Next, data were subject to thematic analysis for discussion purposes, based on the following steps:data collation, data classification and analysis categories.
For data classification, the units of meaning deriving from interactions with workers during the workshops were grouped. These units were constituted based on the exchange of ideas between workers and researchers.
Through semg of the muscles of mastication, coupled with instrumentation techniques,signal processing and data classification, it is possible to extract the variables of interest that describe chewing activity.