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  2. Abstract (summary) - Wikipedia

    en.wikipedia.org/wiki/Abstract_(summary)

    The informative abstract, also known as the complete abstract, is a compendious summary of a paper's substance and its background, purpose, methodology, results, and conclusion. [ 23 ] [ 24 ] Usually between 100 and 200 words, the informative abstract summarizes the paper's structure, its major topics and key points. [ 23 ]

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

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

    Project's website with data information Reviewed source with links to data sources [377] Farsightsecurity Website with technical information, reports, and more about security topics. This data is not pre-processed Technical information, research, reports. [378] Schneier Website with academic papers about security topics. This data is not pre ...

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

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

    This core consortium brought different experiences to the project. ISL, was later acquired and merged into SPSS. The computer giant NCR Corporation produced the Teradata data warehouse and its own data mining software. Daimler-Benz had a significant data mining team. OHRA was starting to explore the potential use of data mining.

  5. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [ 10 ] Data analysis is a process for obtaining raw data , and subsequently converting it into information useful for decision-making by users. [ 1 ]

  6. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]

  7. Data publishing - Wikipedia

    en.wikipedia.org/wiki/Data_publishing

    For example, the UK Data Service enables users to deposit data collections and re-share these for research purposes. publishing a data paper about the dataset, which may be published as a preprint, in a regular journal, or in a data journal that is dedicated to supporting data papers. The data may be hosted by the journal or hosted separately ...

  8. HuffPost Data

    data.huffingtonpost.com

    HuffPost Data Visualization, analysis, interactive maps and real-time graphics. Browse, copy and fork our open-source software.; Remix thousands of aggregated polling results.

  9. Data model - Wikipedia

    en.wikipedia.org/wiki/Data_model

    Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.