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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)
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.
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.
Well-known URIs are Uniform Resource Identifiers defined by the IETF in RFC 8615. [1] They are URL path prefixes that start with /.well-known/.This implementation is in response to the common expectation for web-based protocols to require certain services or information be available at URLs consistent across servers, regardless of the way URL paths are organized on a particular host.
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]
Before data mining algorithms can be used, a target data set must be assembled. As data mining can only uncover patterns actually present in the data, the target data set must be large enough to contain these patterns while remaining concise enough to be mined within an acceptable time limit. A common source for data is a data mart or data ...
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.
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.