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  2. Classified information - Wikipedia

    en.wikipedia.org/wiki/Classified_information

    A formal security clearance is required to view or handle classified material. The clearance process requires a satisfactory background investigation. Documents and other information must be properly marked "by the author" with one of several (hierarchical) levels of sensitivity—e.g. restricted, confidential, secret, and top secret.

  3. Classified information in the United States - Wikipedia

    en.wikipedia.org/wiki/Classified_information_in...

    Thus, if one creates an unclassified document on a secret device, the resultant data is classified secret until it can be manually reviewed. Computer networks for sharing classified information are segregated by the highest sensitivity level they are allowed to transmit, for example, SIPRNet (Secret) and JWICS (Top Secret-SCI).

  4. Examples of data mining - Wikipedia

    en.wikipedia.org/wiki/Examples_of_data_mining

    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 ...

  5. List of U.S. security clearance terms - Wikipedia

    en.wikipedia.org/wiki/List_of_U.S._security...

    Material that is classified as Unclassified // For Official Use Only (U//FOUO) is considered between Unclassified and Confidential and may deal with employee data. [ citation needed ] For access to information at a given classification level, individuals must have been granted access by the sponsoring government organization at that or a higher ...

  6. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    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 ...

  7. Cross-industry standard process for data mining - Wikipedia

    en.wikipedia.org/wiki/Cross-industry_standard...

    A review and critique of data mining process models in 2009 called the CRISP-DM the "de facto standard for developing data mining and knowledge discovery projects." [16] Other reviews of CRISP-DM and data mining process models include Kurgan and Musilek's 2006 review, [8] and Azevedo and Santos' 2008 comparison of CRISP-DM and SEMMA. [9]

  8. Sensitive compartmented information - Wikipedia

    en.wikipedia.org/wiki/Sensitive_compartmented...

    This process may include a polygraph or other approved investigative or adjudicative action. [ 5 ] Once it is determined a person should have access to an SCI compartment, they sign a nondisclosure agreement, are "read in" or indoctrinated, and the fact of this access is recorded in a local access register or in a computer database.

  9. Data processing - Wikipedia

    en.wikipedia.org/wiki/Data_processing

    Data processing is the collection and manipulation of digital data to produce meaningful information. [1] Data processing is a form of information processing , which is the modification (processing) of information in any manner detectable by an observer.