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.
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Hotho, A., Pedersen, R.U., Wurst, M. (2010). Ubiquitous Data. In: May, M., Saitta, L. (eds) Ubiquitous Knowledge Discovery. Lecture Notes in Computer Science(), vol 6202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16392-0_4
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DOI: https://doi.org/10.1007/978-3-642-16392-0_4
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