Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Change Detection on Streams

  • Daniel KiferEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_49


Change detection and explanation on streams


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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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Yahoo! ResearchSanta ClaraUSA

Section editors and affiliations

  • Divesh Srivastava
    • 1
  1. 1.AT&T Labs - ResearchAT&TBedminsterUSA