Skip to main content

Introduction

  • Chapter
  • First Online:
Understanding High-Dimensional Spaces

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

  • 1233 Accesses

Abstract

Many organizations collect large amounts of data: businesses about their customers, governments about their citizens and visitors, scientists about physical systems, and economists about financial systems. Collecting such data is the easy part; extracting useful knowledge from it is often much harder.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David B. Skillicorn .

Rights and permissions

Reprints and permissions

Copyright information

© 2012 The Author

About this chapter

Cite this chapter

Skillicorn, D.B. (2012). Introduction. In: Understanding High-Dimensional Spaces. SpringerBriefs in Computer Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33398-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33398-9_1

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33397-2

  • Online ISBN: 978-3-642-33398-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics