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  2. Comma-separated values - Wikipedia

    en.wikipedia.org/wiki/Comma-separated_values

    Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record.

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    30+ files (v0.9) CSV Anomaly detection: 2020 (continually updated) [329] [330] Iurii D. Katser and Vyacheslav O. Kozitsin On the Evaluation of Unsupervised Outlier Detection: Measures, Datasets, and an Empirical Study Most data files are adapted from UCI Machine Learning Repository data, some are collected from the literature.

  4. Flat-file database - Wikipedia

    en.wikipedia.org/wiki/Flat-file_database

    A flat-file database is a database stored in a file called a flat file. Records follow a uniform format, and there are no structures for indexing or recognizing relationships between records. The file is simple. A flat file can be a plain text file (e.g. csv, txt or tsv), or a binary file. Relationships can be inferred from the data in the ...

  5. Delimiter-separated values - Wikipedia

    en.wikipedia.org/wiki/Delimiter-separated_values

    A delimited text file is a text file used to store data, in which each line represents a single book, company, or other thing, and each line has fields separated by the delimiter. [3] Compared to the kind of flat file that uses spaces to force every field to the same width, a delimited file has the advantage of allowing field values of any length.

  6. Data feed - Wikipedia

    en.wikipedia.org/wiki/Data_feed

    CSV (Comma-separated values) data feeds are mostly being used within affiliate marketing. Affiliate or so called publisher websites use the CSV file to load product information from online stores. This way it is a lot easier to load thousands of products to the website. CSV is not like XML and is not as semantic but it does have a good basic ...

  7. 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]

  8. List of file signatures - Wikipedia

    en.wikipedia.org/wiki/List_of_file_signatures

    A file signature is data used to identify or verify the content of a file. Such signatures are also known as magic numbers or magic bytes. Many file formats are not intended to be read as text. If such a file is accidentally viewed as a text file, its contents will be unintelligible.

  9. Hierarchical Data Format - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_Data_Format

    Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data.Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.