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Ubiquitous Data

  • Andreas Hotho
  • Rasmus Ulslev Pedersen
  • Michael Wurst
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6202)

Abstract

Ubiquitous knowledge discovery systems must be captured from many different perspectives. In earlier chapters, aspects like machine learning, underlying network technologies etc. were described. An essential component, which we shall discuss now, is still missing: Ubiquitous Data. While data themselves are a central part of the knowledge discovery process, in a ubiquitous setting new challenges arise. In this context, the emergence of data itself plays a large role, therefore we label this part of KDubiq systems ubiquitous data. It clarifies the KDubiq challenges related to the multitude of available data and what we must do before we can tap into this rich information source.

Keywords

Sensor Network Sensor Node Wireless Sensor Network Sensor Fusion Data Mining Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Andreas Hotho
    • 1
  • Rasmus Ulslev Pedersen
    • 2
  • Michael Wurst
    • 3
  1. 1.Depart. of Electrical Engineering/Computer Science Knowledge and Data Engineering GroupUniversity KasselGermany
  2. 2.Dept. of Informatics, Embedded Software LabCopenhagen Business SchoolCopenhagenDenmark
  3. 3.Computer Science LS8Technical University DortmundDortmundGermany

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