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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is the process of ... A data analytics approach can be used in order to predict energy ... Comparison and correction of differences in coding schemes ...

  3. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.

  4. Analytic and enumerative statistical studies - Wikipedia

    en.wikipedia.org/wiki/Analytic_and_enumerative...

    "Use of data requires knowledge about the different sources of uncertainty. Measurement is a process. Is the system of measurement stable or unstable? Use of data requires also understanding of the distinction between enumerative studies and analytic problems." "The interpretation of results of a test or experiment is something else.

  5. Analytical skill - Wikipedia

    en.wikipedia.org/wiki/Analytical_skill

    Inferential analysis analyses a sample from complete data to compare the difference between treatment groups. [53] Multiple conclusions are constructed by selecting different samples. Inferential analysis can provide evidence that, with a certain percentage of confidence, there is a relationship between two variables.

  6. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."

  7. 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 ...

  8. Oversampling and undersampling in data analysis - Wikipedia

    en.wikipedia.org/wiki/Oversampling_and_under...

    To create a synthetic data point, take the vector between one of those k neighbors, and the current data point. Multiply this vector by a random number x which lies between 0, and 1. Add this to the current data point to create the new, synthetic data point. Many modifications and extensions have been made to the SMOTE method ever since its ...

  9. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...

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