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Encyclopedia of Database Systems pp 411–415Cite as

Change Detection on Streams

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Synonyms

Change detection and explanation on streams

Definition

A data stream is a (potentially infinite) sequence of data items x1, x2,…. As opposed to traditional data analysis, it is not assumed that the data items are generated independently from the same probability distribution. Thus change detection is an important part of data stream mining. It consists of two tasks: determining when there is a change in the characteristics of the data stream (preferably as quickly as possible) and explaining what is the nature of the change.

The nature of the data stream model means that it may be infeasible to store all of the data or to make several passes over it. For this reason, change detection algorithms should satisfy the following desiderata: the memory requirements should be constant or increase logarithmically, and the algorithm should require only one pass over the data.

Historical Background

There has been a lot of work on detecting change in time series data afterall of the...

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Recommended Reading

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Author information

Authors and Affiliations

  1. Yahoo! Research, Santa Clara, CA, USA

    Daniel Kifer

Authors
  1. Daniel Kifer
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Corresponding author

Correspondence to Daniel Kifer .

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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Kifer, D. (2018). Change Detection on Streams. 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_49

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