Search results
Results from the WOW.Com Content Network
The ISO/IEC 11179 metadata registry standard uses classification schemes as a way to classify administered items, such as data elements, in a metadata registry. Some quality criteria for classification schemes are: Whether different kinds are grouped together. In other words, whether it is a grouping system or a pure classification system.
Data classification can be viewed as a multitude of labels that are used to define the type of data, especially on confidentiality and integrity issues. [1] Data classification is typically a manual process; however, there are tools that can help gather information about the data. [2] Data sensitivity levels are often proposed to be considered. [2]
The ISO/IEC 11179 model is a result of two principles of semantic theory, combined with basic principles of data modelling. The first principle from semantic theory is the thesaurus type relation between wider and more narrow (or specific) concepts, e.g. the wide concept "income" has a relation to the more narrow concept "net income".
The first step in doing a data classification is to cluster the data set used for category training, to create the wanted number of categories. An algorithm, called the classifier, is then used on the categories, creating a descriptive model for each. These models can then be used to categorize new items in the created classification system. [2]
An algorithm that implements classification, especially in a concrete implementation, is known as a classifier. The term "classifier" sometimes also refers to the mathematical function, implemented by a classification algorithm, that maps input data to a category. Terminology across fields is quite varied.
This is a distinct classification in Flynn's 1972 taxonomy, as a subcategory of SIMD. It is identifiable by the parallel subelements having their own independent register file and memory (cache and data memory). Flynn's original papers cite two historic examples of SIMT processors: SOLOMON and ILLIAC IV.
A data processing system is a combination of machines, people, and processes that for a set of inputs produces a defined set of outputs. The inputs and outputs are interpreted as data , facts , information etc. depending on the interpreter's relation to the system.
The Colon Classification developed by S. R. Ranganathan is an example of general faceted classification designed to be applied to all library materials. In the Colon Classification system, a book is assigned a set of values from each independent facet. [8] This facet formula uses punctuation marks and symbols placed between the facets to ...