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  2. 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 ...

  3. Examples of data mining - Wikipedia

    en.wikipedia.org/wiki/Examples_of_data_mining

    Metabolomics is a very data heavy subject, and often involves sifting through massive amounts of irrelevant data before finding any conclusions. Data mining has allowed this relatively new field of medical research to grow considerably within the last decade, and will likely be the method of which new research is found within the subject. [28]

  4. Zoomdata - Wikipedia

    en.wikipedia.org/wiki/Zoomdata

    The company claims that its advanced support for pushdown processing takes advantage of investments in modern, high-performing data platforms, and since data does not need to be moved, extracted, or imported, Zoomdata claims it is more accessible for organizations with regulated, PII (personally identifiable information), proprietary, and other ...

  5. KNIME - Wikipedia

    en.wikipedia.org/wiki/KNIME

    KNIME (/ n aɪ m / ⓘ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform.KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.

  6. Wikipedia:Data mining Wikipedia - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Data_mining...

    Wikipedia and its sister projects—e.g. Wikimedia Commons, WikiSource—supported by the Wikimedia Foundation are hosted by servers (see Wikimedia servers on Meta-Wiki) at a data center in the state of Virginia, with an emergency backup data center in the state of Texas; caching servers are located in the Netherlands and Singapore.

  7. Data stream mining - Wikipedia

    en.wikipedia.org/wiki/Data_stream_mining

    Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read only once or a small number of times using limited computing and storage capabilities.

  8. Wrapper (data mining) - Wikipedia

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

    Wrapper in data mining is a procedure that extracts regular subcontent of an unstructured or loosely-structured information source and translates it into a relational form, so it can be processed as structured data. [1] Wrapper induction is the problem of devising extraction procedures on an automatic basis, with minimal reliance on hand ...

  9. Bright Data - Wikipedia

    en.wikipedia.org/wiki/Bright_Data

    Bright Data (previously as Luminati Networks), is a global technology company that offers web data collection and proxy services to B2B companies. Since 2018, the CEO of Bright Data is Or Lenchner. Since 2018, the CEO of Bright Data is Or Lenchner.