In terms of three-way information measures (i.e., information entropy, conditional entropy, and mutual information), classification-level and class-level complement information measures are established by extending equivalence decision systems to neighborhood decision systems; thus, the construction on non...
Classification is based on the importance of the data to the business and its stakeholders. All data has some level of impact. This impact can be financial, legal, or reputational.Customer data can be leaked, or a company's internal data might be distributed online for all to access. The ...
If the information can be classified according to the processes flow that identify its characteristics, the "value" of information can be measurable. Characteristics of Information Use (IU) obtained from mapping on the enterprise management level. Characterization made by modeling and classification of ...
From the service application perspective, the solution can be divided into three parts. The first part is basic telecommunication services, such as the enterprise broadband, voice, and enhanced Wi-Fi access, as well as prioritization, traffic classification, and security, which can well satisfy basi...
Admins can enable their organization to know its data through data classification and explorer capabilities available in the Microsoft Purview portal. Sensitive information types Sensitive information types (SIT) are pattern-based classifiers. They h...
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The answers were coded according to the classification of study programs by the German Office of Statistics (Destatis, 2020). If at least one of the majors listed was gender-atypical, the answer was coded as 1, and 0 otherwise. The same procedure is used for coding the non-beaten path. ...
Since OpenAI released ChatGPT, the discussion on its usage in education has been conducted by students and teachers of every education level. Also, many studies have been performed on the tool’s possibilities and the threats related to its usage, such as incomplete or inaccurate information obtai...
Furthermore to combine double-quantitative weights of all classes, we mainly rely on approximation accuracies at the classification level, and this strategy can better structure the algebra-information fusion to intensify metric construction (especially on the algebra part). As shown by Fig. 1 with...
It has been successfully applied to feature selection for a neural network-based classification problem in [106] and to sensor optimisation for an impact location problem in [107]. The ‘goodness’ of features can also be estimated on the basis of the Fisher information matrix [108]. This is...