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Online video platforms allow users to upload, share videos or live stream their own videos to the Internet. These can either be for the general public to watch, or particular users on a shared network. The most popular video hosting website is YouTube, 2 billion active until October 2020 and the most extensive catalog of online videos. [1]
The enrollment is based on the students’ performance in their Year 6 national examinations known as the Primary School Evaluation Test (UPSR). Classes in Forms 1 to 3 are separated based on multiple criteria, such as: Language of Medium for Mathematics and Science; Type of Coordinated Living Skills Elective taken up
In a data stream it is visible what device has been used by the user side – it is visible on user agent: mobile – when a user uses a mobile browser to explore, it has narrow screen resolution and mobile app version, respectively; desktop – when a user uses a desktop browser or app version. The following information is shared out of used ...
Data streaming is also modular, because systems components may be separated and recombined mainly for flexibility and variety. Data streaming works in different application versions and systems such as iOS. It is also possible to change the speed of data streaming. [9] A consequence of modularity is the creation of platforms.
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 .
Smart data capture is multimodal, [6] capable of extracting data from a wider range of semi-structured and unstructured sources, going beyond basic text recognition to offer a wider scope of applications. By extending functionality to provide actionable insights at the point of capture, SDC is also a two-way process (capture-display), while OCR ...
In computer science, data stream clustering is defined as the clustering of data that arrive continuously such as telephone records, multimedia data, financial transactions etc. Data stream clustering is usually studied as a streaming algorithm and the objective is, given a sequence of points, to construct a good clustering of the stream, using a small amount of memory and time.
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.