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  2. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine). [3] 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]

  3. Domain knowledge - Wikipedia

    en.wikipedia.org/wiki/Domain_knowledge

    Domain knowledge is knowledge of a specific discipline or field in contrast to general (or domain-independent) knowledge. [1] The term is often used in reference to a more general discipline—for example, in describing a software engineer who has general knowledge of computer programming as well as domain knowledge about developing programs for a particular industry.

  4. Knowledge extraction - Wikipedia

    en.wikipedia.org/wiki/Knowledge_extraction

    Knowledge discovery describes the process of automatically searching large volumes of data for patterns that can be considered knowledge about the data. [44] It is often described as deriving knowledge from the input data. Knowledge discovery developed out of the data mining domain, and is closely related to it both in terms of methodology and ...

  5. Domain driven data mining - Wikipedia

    en.wikipedia.org/wiki/Domain_driven_data_mining

    Domain driven data mining is a data mining methodology for discovering actionable knowledge and deliver actionable insights from complex data and behaviors in a complex environment. It studies the corresponding foundations, frameworks, algorithms, models, architectures, and evaluation systems for actionable knowledge discovery.

  6. Domain model - Wikipedia

    en.wikipedia.org/wiki/Domain_model

    Sample domain model for a health insurance plan. In software engineering, a domain model is a conceptual model of the domain that incorporates both behavior and data. [1] [2] In ontology engineering, a domain model is a formal representation of a knowledge domain with concepts, roles, datatypes, individuals, and rules, typically grounded in a description logic.

  7. Rule-based system - Wikipedia

    en.wikipedia.org/wiki/Rule-based_system

    In computer science, a rule-based system is a computer system in which domain-specific knowledge is represented in the form of rules and general-purpose reasoning is used to solve problems in the domain. Two different kinds of rule-based systems emerged within the field of artificial intelligence in the 1970s:

  8. 25 Gorgeous Plus-Size Winter Outfits for 2025, According to ...

    www.aol.com/25-gorgeous-plus-size-winter...

    "Talk about a sweater dress hitting at just the right spot!" Vargas shares. "I also love a bold color choice for streetwear. It makes you stand out and makes a bold statement."

  9. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    Data mining is an interdisciplinary subfield of computer science and statistics with an ... the terms data mining and knowledge discovery are ... Domain driven data ...