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  2. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  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. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. [1] Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data ...

  5. Verification and validation - Wikipedia

    en.wikipedia.org/wiki/Verification_and_validation

    Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.

  6. 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." [1] Written resources may include websites, books, emails, reviews, and ...

  7. SEMMA - Wikipedia

    en.wikipedia.org/wiki/SEMMA

    It guides the implementation of data mining applications. [1] Although SEMMA is often considered to be a general data mining methodology, SAS claims that it is "rather a logical organization of the functional tool set of" one of their products, SAS Enterprise Miner, "for carrying out the core tasks of data mining".

  8. Nickel mining in Indonesia - Wikipedia

    en.wikipedia.org/wiki/Nickel_mining_in_Indonesia

    Nickel mining in Sulawesi. Nickel mining in Indonesia began with small-scale exploratory mining operations during the Dutch East Indies era and began to expand in the 1960s. . Most of Indonesia's proven nickel reserves are located in the islands of Sulawesi and Halmahera, and the country has the largest annual production and reserves of nickel in the wor