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Stream processing is essentially a compromise, driven by a data-centric model that works very well for traditional DSP or GPU-type applications (such as image, video and digital signal processing) but less so for general purpose processing with more randomized data access (such as databases). By sacrificing some flexibility in the model, the ...
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 ...
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 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.
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
Pipeline: allowing the simultaneous running of several components on the same data stream, e.g. looking up a value on record 1 at the same time as adding two fields on record 2 Component: The simultaneous running of multiple processes on different data streams in the same job, e.g. sorting one input file while removing duplicates on another file
User vote data for pairs of videos shown on YouTube. Users voted on funnier videos. Video metadata given. 1,138,562 Text Classification 2012 [15] [16] Google Skytrax User Reviews Dataset User reviews of airlines, airports, seats, and lounges from Skytrax. Ratings are fine-grain and include many aspects of airport experience. 41396 Text
An industry that is impacted by data streaming is the Video Streaming industry. Consumers are now demanding videos to be available at immediate request, meaning that it is no longer only the quality resolution of image that acts as important performance metrics in the media industry, but also how quickly video starts to play. [19]