Skip to main content

Time Series

  • Reference work entry
  • First Online:

Synonyms

Temporal data; Time sequence; Trajectory data

Definition

A Time Series is a sequence T = (t1, t2, , t n ) which is an ordered set of n real-valued numbers. The ordering is typically temporal; however, other kinds of data such as color distributions (Hafner et al. 1995), shapes (Ueno et al. 2006), and spectrographs also have a well-defined ordering and can be fruitfully considered “time series” for the purposes of machine learning algorithms.

Motivation and Background

The special structure of time series produces unique challenges for machine learning researchers.

It is often the case that each individual time series object has a very high dimensionality. Whereas classic algorithms often assume a relatively low dimensionality (for example, a few dozen measurements such as “height, weight, blood sugar,” etc.), time series learning algorithms must be able to deal with dimensionalities in hundreds or thousands. The problems created by high-dimensional data are more than mere...

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   699.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   949.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Recommended Reading

  • Ding H, Trajcevski G, Scheuermann P, Wang X, Keogh EA (2008) Querying and mining of time series data: experimental comparison of representations and distance measures. In: Proceeding of the VLDB, Auckland. VLDB endowment

    Google Scholar 

  • Hafner J, Sawhney H, Equitz W, Flickner M, Niblack W (1995) Efficient color histogram indexing for quadratic form distance functions. IEEE Trans Pattern Anal Mach Intell 17(7):729–736

    Article  Google Scholar 

  • Ueno K, Xi X, Keogh E, Lee D (2006) Anytime classification using the nearest neighbor algorithm with applications to stream mining. In: Proceedings of IEEE international conference on data mining (ICDM), Hong Kong

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media New York

About this entry

Cite this entry

Keogh, E. (2017). Time Series. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_972

Download citation

Publish with us

Policies and ethics