β Scribed by Michael May, Lorenza Saitta (auth.), Michael May, Lorenza Saitta (eds.)
No coin nor oath required. For personal study only.
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 organized by KDubiq (Knowledge Discovery in Ubiquitous Environments), a networking project funded by the European Commission to bring 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.
Front Matter....Pages -
Front Matter....Pages 1-1
Introduction: The Challenge of Ubiquitous Knowledge Discovery....Pages 3-18
Ubiquitous Technologies....Pages 19-39
Resource Aware Distributed Knowledge Discovery....Pages 40-60
Ubiquitous Data....Pages 61-74
Privacy and Security in Ubiquitous Knowledge Discovery....Pages 75-89
A Human-Centric Perspective on Ubiquitous Knowledge Discovery....Pages 90-107
Application Challenges for Ubiquitous Knowledge Discovery....Pages 108-125
Front Matter....Pages 127-127
On-Line Learning: Where Are We So Far?....Pages 129-147
Change Detection with Kalman Filter and CUSUM....Pages 148-162
A Geometric Approach to Monitoring Threshold Functions over Distributed Data Streams....Pages 163-186
Privacy Preserving Spatio-temporal Clustering on Horizontally Partitioned Data....Pages 187-198
Nemoz β A Distributed Framework for Collaborative Media Organization....Pages 199-215
Micro Information Systems and Ubiquitous Knowledge Discovery....Pages 216-234
MineFleet : The Vehicle Data Stream Mining System for Ubiquitous Environments....Pages 235-254
Back Matter....Pages -
Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Information Systems Applications (incl.Internet); Algorithm Analysis and Problem Complexity; Computer Communication Networks; User Interfaces and Human Comput
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