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Stream Mining

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 123 Accesses

Synonyms

Stream data analysis

Definition

Stream mining is the process of discovering knowledge or patterns from continuous data streams. Unlike traditional data sets, data streams consist of sequences of data instances that flow in and out of a system continuously and with varying update rates. They are temporally ordered, fast changing, massive, and potentially infinite. Examples of data streams include data generated by communication networks, Internet traffic, online stock or business transactions, electric power grids, industry production processes, scientific and engineering experiments, and video, audio or remote sensing data from cameras, satellites, and sensor networks. Since it is usually impossible to store an entire data stream, or to scan through it multiple times due to its tremendous volume, most stream mining algorithms are confined to reading only once or a small number of times using limited computing and storage capabilities. Moreover, much of stream data resides at...

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Recommended Reading

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Author information

Authors and Affiliations

  1. University of Illinois at Urbana-Champaign, Urbana, IL, USA

    Jiawei Han & Bolin Ding

Authors
  1. Jiawei Han
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  2. Bolin Ding
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Corresponding author

Correspondence to Jiawei Han .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. AT&T Labs - Research, AT&T, Bedminster, NJ, USA

    Divesh Srivastava

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Han, J., Ding, B. (2018). Stream Mining. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_369

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