Skip to main content

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 259))

Included in the following conference series:

Abstract

Big-data value is well recognized. How to extract useful information from the large, high-dimension, massive, diverse forms of big-data in a timely manner, and to help people judge, decision-making, to present new challenges for data-mining technology. Visual analysis of big-data mining has more intuitive, efficient results and can be applied to military, national security, public services, financial, business and other fields. So it is a hot topic in data-mining technology. This paper describes several typical applications of big-data mining visualization and tracks a single example of money laundering by the data-mining visualization and ends with a prospect.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
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

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chan Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, C. (2014). Research of Big-Data Mining Visualization Application. In: Long, S., Dhillon, B.S. (eds) Proceedings of the 13th International Conference on Man-Machine-Environment System Engineering. MMESE 2013. Lecture Notes in Electrical Engineering, vol 259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38968-9_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38968-9_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38967-2

  • Online ISBN: 978-3-642-38968-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics