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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10811

Title: Research challenges in ubiquitous knowledge discovery
Authors: May, Michael
Berendt, Bettina
Cornuejols, Antoine
Gama, Joao
Giannotti, Fosca
Hotho, Andreas
Malerba, Donato
Menasalvas, Ernestina
Morik, Katharina
Pedersen, Rasmus
Saitta, Lorenza
Saygin, Yücel
Schuster, Assaf
Issue Date: 2008
Citation: Next generation of data mining pages, p. 131-150.
Abstract: Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main characteristics of the objects of study are de ned. Next, a number of examples from a broad range of application areas are reviewed and analyzed. Based on this material, important characteristics of this eld are identi ed and a number of research challenges are discussed. The purpose of this chapter is to chart the territory, to identify landmarks and challenges ahead.
URI: http://hdl.handle.net/1942/10811
ISBN: 9781420085860
Category: B2
Type: Book Section
Validation: vabb, 2018
Appears in Collections: Research publications

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