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Some authors use the term datastream instead of dataflow to avoid confusion with dataflow computing or dataflow architecture, based on an indeterministic machine paradigm. Dataflow programming was pioneered by Jack Dennis and his graduate students at MIT in the 1960s.
Data Stream contains different sets of data, that depend on the chosen data format. Attributes – each attribute [3] of the data stream represents a certain type of data, e.g. segment / data point ID, timestamp, geodata.
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.
Americans have roughly $156 trillion in assets, according to Visual Capitalist, but half of that wealth -- $78.1 trillion -- belongs to the baby boomers. The rest is spread out across Generation X,...
A data stream management system (DSMS) is a computer software system to manage continuous data streams.It is similar to a database management system (DBMS), which is, however, designed for static data in conventional databases.
Data and information visualization (data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.
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Datastream is a wholesale product in which the wholesale customer can purchase connectivity between their own point of presence and a number of end users. Some authors use the term "datastream" for replacing the term dataflow to avoid confusion with dataflow computing or dataflow architecture , based on an indeterministic machine paradigm (a ...