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  2. Comparison of API simulation tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_API...

    The tools listed here support emulating [1] or simulating APIs and software systems. They are also called [2] API mocking tools, service virtualization tools, over the wire test doubles and tools for stubbing and mocking HTTP(S) and other protocols. [1] They enable component testing in isolation. [3]

  3. XML for Analysis - Wikipedia

    en.wikipedia.org/wiki/XML_for_Analysis

    XML for Analysis (XMLA) is an industry standard for data access in analytical systems, such as online analytical processing (OLAP) and data mining. XMLA is based on other industry standards such as XML, SOAP and HTTP. XMLA is maintained by XMLA Council with Microsoft, Hyperion and SAS Institute being the XMLA Council founder members.

  4. Experience API - Wikipedia

    en.wikipedia.org/wiki/Experience_API

    The Experience API (xAPI) is an e-learning software specification that records and tracks various types of learning experiences for learning systems. [1] Learning experiences are recorded in a Learning Record Store (LRS), which can exist within traditional learning management systems (LMSs) or on their own.

  5. Domain driven data mining - Wikipedia

    en.wikipedia.org/wiki/Domain_driven_data_mining

    A significant paradigm shift is the evolution from data-driven pattern mining to domain-driven actionable knowledge discovery. [4] [5] [6] Domain driven data mining is to enable the discovery and delivery of actionable knowledge and actionable insights. Domain driven data mining has attracted significant attention from both academic and industry.

  6. Boomi, LP - Wikipedia

    en.wikipedia.org/wiki/Boomi,_LP

    It is a low-code development platform. [18] The platform provides API, lifecycle management and event-driven architecture features for cloud integration. [19] This includes an API Proxy, API Gateway and API Developer Portal. [19] The platform also supports event-driven architectures. [19]

  7. RapidMiner - Wikipedia

    en.wikipedia.org/wiki/RapidMiner

    RapidMiner uses a client/server model with the server offered either on-premises or in public or private cloud infrastructures.. RapidMiner provides data mining and machine learning procedures including: data loading and transformation (ETL), data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment.

  8. Examples of data mining - Wikipedia

    en.wikipedia.org/wiki/Examples_of_data_mining

    In the context of pattern mining as a tool to identify terrorist activity, the National Research Council provides the following definition: "Pattern-based data mining looks for patterns (including anomalous data patterns) that might be associated with terrorist activity — these patterns might be regarded as small signals in a large ocean of ...

  9. 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.