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  2. Tanagra (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Tanagra_(machine_learning)

    Tanagra is a free suite of machine learning software for research and academic purposes developed by Ricco Rakotomalala at the Lumière University Lyon 2, France. [1] [2] Tanagra supports several standard data mining tasks such as: Visualization, Descriptive statistics, Instance selection, feature selection, feature construction, regression, factor analysis, clustering, classification and ...

  3. 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 ...

  4. Whole Internet User's Guide and Catalog - Wikipedia

    en.wikipedia.org/wiki/Whole_Internet_User's_Guide...

    The Whole Internet User's Guide and Catalog, by Ed Krol, was published in September 1992 by O'Reilly.The Los Angeles Times notes that the Whole Internet User's Guide and Catalog was the "first popular book about the medium" and "was later selected by the New York Public Library as one of the most significant books of the 20th century."

  5. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

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

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

    The outer circle in the diagram symbolizes the cyclic nature of data mining itself. A data mining process continues after a solution has been deployed. The lessons learned during the process can trigger new, often more focused business questions, and subsequent data mining processes will benefit from the experiences of previous ones.

  7. Educational data mining - Wikipedia

    en.wikipedia.org/wiki/Educational_data_mining

    While the analysis of educational data is not itself a new practice, recent advances in educational technology, including the increase in computing power and the ability to log fine-grained data about students' use of a computer-based learning environment, have led to an increased interest in developing techniques for analyzing the large amounts of data generated in educational settings.

  8. WHOOP (company) - Wikipedia

    en.wikipedia.org/wiki/WHOOP_(company)

    WHOOP is an American wearable technology company headquartered in Boston, Massachusetts. [1] Its principal product is a fitness tracker that measures strain, recovery, and sleep . [ 2 ] [ 3 ] The device is best known for its use by athletes.

  9. Text mining - Wikipedia

    en.wikipedia.org/wiki/Text_mining

    Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text.It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources."

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