Ubiquitous Knowledge Discovery

Culled from a range of workshops, summer schools and dissemination events, this survey of the state of the art in a rapidly emerging field provides both a conceptual foundation and detailed coverage of selected approaches to ubiquitous knowledge discovery.

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Knowledge discovery in ubiquitous environments is an emerging area of
research at the intersection of the two major challenges of highly
distributed and mobile systems and advanced knowledge discovery systems. It aims to provide a unifying framework for systematically investigating the mutual dependencies of otherwise quite unrelated technologies employed in building next-generation intelligent systems: machine learning, data mining, sensor networks, grids, peer-to-peer networks, data stream mining, activity recognition, Web 2.0, privacy, user modelling and others. This state-of-the-art survey is the outcome of a large number of workshops, summer schools, tutorials and dissemination events that brought together researchers and practitioners of this emerging community. It provides in its first part a conceptual foundation for the new field of ubiquitous knowledge discovery - highlighting challenges and problems, and proposing future directions in the area of 'smart', 'adaptive', and 'intelligent' learning. The second part of this volume contains selected approaches to ubiquitous knowledge discovery and treats specific aspects in detail. The contributions have been carefully
selected to provide illustrations and in-depth discussions for some of the major findings of Part I.