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  2. Separation of powers - Wikipedia

    en.wikipedia.org/wiki/Separation_of_powers

    The separation of powers principle functionally differentiates several types of state power (usually law-making, adjudication, and execution) and requires these operations of government to be conceptually and institutionally distinguishable and articulated, thereby maintaining the integrity of each. [1]

  3. Forensic science - Wikipedia

    en.wikipedia.org/wiki/Forensic_science

    Trace evidence analysis is the analysis and comparison of trace evidence including glass, paint, fibres and hair (e.g., using micro-spectrophotometry). Wildlife forensic science applies a range of scientific disciplines to legal cases involving non-human biological evidence, to solve crimes such as poaching, animal abuse , and trade in ...

  4. Heuristic analysis - Wikipedia

    en.wikipedia.org/wiki/Heuristic_analysis

    Heuristic analysis is an expert based analysis that determines the susceptibility of a system towards particular threat/risk using various decision rules or weighing methods. MultiCriteria analysis (MCA) is one of the means of weighing. This method differs from statistical analysis, which bases itself on the available data/statistics.

  5. Social network analysis - Wikipedia

    en.wikipedia.org/wiki/Social_network_analysis

    Social network analysis has also been applied to understanding online behavior by individuals, organizations, and between websites. [18] Hyperlink analysis can be used to analyze the connections between websites or webpages to examine how information flows as individuals navigate the web. [74]

  6. Sentiment analysis - Wikipedia

    en.wikipedia.org/wiki/Sentiment_analysis

    Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.

  7. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable, or a 'label' in machine learning parlance) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables' or 'features').

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