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The previous algorithm describes the first attempt to approximate F 0 in the data stream by Flajolet and Martin. Their algorithm picks a random hash function which they assume to uniformly distribute the hash values in hash space. Bar-Yossef et al. in [10] introduced k-minimum value algorithm for determining number of distinct elements in data ...
Stream processing — in parallel processing, especially in graphic processing, the term stream is applied to hardware as well as software. There it defines the quasi-continuous flow of data that is processed in a dataflow programming language as soon as the program state meets the starting condition of the stream.
r/science is an Internet forum on Reddit where the community of participants discuss science topics. [2] A popular feature of the forum is "Ask Me Anything" (AMA) public discussions. [ 2 ] As of 2014, r/science attracted 30,000–100,000 visitors per day, making it the largest community-managed science forum and an attractive place to host ...
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.
In connection-oriented communication, a data stream is the transmission of a sequence of digitally encoded signals to convey information. [1] Typically, the transmitted symbols are grouped into a series of packets. [2] Data streaming has become ubiquitous. Anything transmitted over the Internet is transmitted as a data stream
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