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Template parameters [Edit template data] Parameter Description Type Status Grade 1 The classification of the article String required Image image Set to 'yes' to display an icon; 'no' to not display an icon; or no value or blank to display an icon for FA, FL, A and GA classes only String optional Category category An alternative category link String optional Header header Set to 'yes' if the ...
An example of data mining related to an integrated-circuit (IC) production line is described in the paper "Mining IC Test Data to Optimize VLSI Testing." [12] In this paper, the application of data mining and decision analysis to the problem of die-level functional testing is described. Experiments mentioned demonstrate the ability to apply a ...
The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset, e.g., analyzing the effectiveness of a marketing campaign, regardless of the amount of data. In contrast, data mining uses machine learning and statistical models to uncover clandestine or hidden patterns in a large ...
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Relational data mining is the data mining technique for relational databases. [1] Unlike traditional data mining algorithms, which look for patterns in a single table (propositional patterns), relational data mining algorithms look for patterns among multiple tables (relational patterns). For most types of propositional patterns, there are ...
Data classification is the process of organizing data into categories based on attributes like file type, content, or metadata. The data is then assigned class labels that describe a set of attributes for the corresponding data sets. The goal is to provide meaningful class attributes to former less structured information.
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This template can be used to add a navigation bar to "assessment by topic" category pages that follow the naming convention "Category: class-Class topic articles" (e.g. Category:Start-Class history articles) in order to facilitate navigation between the various assessment class categories for that topic.