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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.
Domain driven data mining has attracted significant attention from both academic and industry. There was a workshop series on domain driven data mining during 2007-2014 with the IEEE International Conference on Data Mining and a special issue published by the IEEE Transactions on Knowledge and Data Engineering. [ 7 ]
Name FOSS Free Supported protocols and APIs Has a GUI Scriptable/Programmable Docker support Cloud offering API Simulator: No; Proprietary [4]: Yes: HTTP/2 with TLS ALPN; HTTP/2 with prior knowledge; HTTP/2 upgrade from HTTP/1.1; HTTP/1.x with and without TLS/SSL; HTTP(S)
Collaboration Data Objects for Windows NT Server; Dynamic Data Exchange; Older data access technologies Jet Database Engine; Data object. Jet Data Access Objects; Remote Data Objects (RDO) Remote Data Services (RDS) Setup API; Windows API (old versions: Win16; Win32s) XNA libraries for cross-platform Xbox 360/Windows development
As of Windows 10, version 1803, the Windows SDK contains C++/WinRT. C++/WinRT is an entirely standard modern C++17 language projection for Windows Runtime (WinRT) APIs, implemented as a header-file-based library, and designed to provide first-class access to the modern Windows API.
An application within a domain can be stopped without affecting the state of another domain in the same process. A fault or exception in one domain does not affect an application in another domain or crash the entire process that hosts the domains. Configuration information is part of a domain's scope, not the scope of the process.
One of the largest changes to the Windows API was the transition from Win16 (shipped in Windows 3.1 and older) to Win32 (Windows NT and Windows 95 and up). While Win32 was originally introduced with Windows NT 3.1 and Win32s allowed use of a Win32 subset before Windows 95, it was not until Windows 95 that widespread porting of applications to ...
Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read only once or a small number of times using limited computing and storage capabilities.