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  2. Associative group analysis - Wikipedia

    en.wikipedia.org/wiki/Associative_group_analysis

    The method's authors do not offer a measure of significance. This method reveals the power, density, and constraints of a theme, [4] but the interpretation of a word might be context dependent. For example, Russians associated "innovation" with "change", but we don't know the change is interpreted as negative or positive.

  3. Lift (data mining) - Wikipedia

    en.wikipedia.org/wiki/Lift_(data_mining)

    In data mining and association rule learning, lift is a measure of the performance of a targeting model (association rule) at predicting or classifying cases as having an enhanced response (with respect to the population as a whole), measured against a random choice targeting model.

  4. Association rule learning - Wikipedia

    en.wikipedia.org/wiki/Association_rule_learning

    Association rules are primarily used to find analytics and a prediction of customer behavior. For Classification analysis, it would most likely be used to question, make decisions, and predict behavior. [5] Clustering analysis is primarily used when there are no assumptions made about the likely relationships within the data. [5]

  5. Articles of association - Wikipedia

    en.wikipedia.org/wiki/Articles_of_association

    Articles of association are critical documents to corporate operations, as they may regulate both internal and external affairs. [ 1 ] Articles of incorporation , also referred to as the certificate of incorporation or the corporate charter , is a document or charter that establishes the existence of a corporation in the United States and Canada .

  6. Affinity analysis - Wikipedia

    en.wikipedia.org/wiki/Affinity_analysis

    The obtained association rules can be further assessed to find different conditions and features that coincide on a large block of information. [6] It is crucial to understand whether there is an association between different factors contributing to a condition to be able to administer the effective preventive or therapeutic interventions.

  7. Implicit-association test - Wikipedia

    en.wikipedia.org/wiki/Implicit-association_test

    The implicit-association test (IAT) is an assessment intended to detect subconscious associations between mental representations of objects in memory. [1] Its best-known application is the assessment of implicit stereotypes held by test subjects, such as associations between particular racial categories and stereotypes about those groups. [2]

  8. Abstract (summary) - Wikipedia

    en.wikipedia.org/wiki/Abstract_(summary)

    An abstract is a brief summary of a research article, thesis, review, conference proceeding, or any in-depth analysis of a particular subject and is often used to help the reader quickly ascertain the paper's purpose. [1]

  9. Causal analysis - Wikipedia

    en.wikipedia.org/wiki/Causal_analysis

    Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. [1] Typically it involves establishing four elements: correlation, sequence in time (that is, causes must occur before their proposed effect), a plausible physical or information-theoretical mechanism for an observed effect to follow from a possible cause, and eliminating the ...