Ubiquitous Knowledge Discovery

1. Front Matter

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2. A Blueprint for Ubiquitous Knowledge Discovery

   1. Front Matter

      Pages 1-1

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   2. Introduction: The Challenge of Ubiquitous Knowledge Discovery

      • Michael May, Lorenza Saitta

      Pages 3-18

   3. Ubiquitous Technologies

      • Assaf Schuster, Ran Wolff

      Pages 19-39

   4. Resource Aware Distributed Knowledge Discovery

      • João Gama, Antoine Cornuéjols

      Pages 40-60

   5. Ubiquitous Data

      • Andreas Hotho, Rasmus Ulslev Pedersen, Michael Wurst

      Pages 61-74

   6. Privacy and Security in Ubiquitous Knowledge Discovery

      • Fosca Giannotti, Yücel Saygin

      Pages 75-89

   7. A Human-Centric Perspective on Ubiquitous Knowledge Discovery

      • Bettina Berendt, Ernestina Menasalvas

      Pages 90-107

   8. Application Challenges for Ubiquitous Knowledge Discovery

      • Koen Vanhoof, Ina Lauth

      Pages 108-125

3. Case Studies

   1. Front Matter

      Pages 127-127

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   2. On-Line Learning: Where Are We So Far?

      • Antoine Cornuéjols

      Pages 129-147

   3. Change Detection with Kalman Filter and CUSUM

      • Milton Severo, João Gama

      Pages 148-162

   4. A Geometric Approach to Monitoring Threshold Functions over Distributed Data Streams

      • Izchak Sharfman, Assaf Schuster, Daniel Keren

      Pages 163-186

   5. Privacy Preserving Spatio-temporal Clustering on Horizontally Partitioned Data

      • Ali Inan, Yucel Saygin

      Pages 187-198

   6. Nemoz — A Distributed Framework for Collaborative Media Organization

      • Katharina Morik

      Pages 199-215

   7. Micro Information Systems and Ubiquitous Knowledge Discovery

      • Rasmus Ulslev Pedersen

      Pages 216-234

   8. MineFleet: The Vehicle Data Stream Mining System for Ubiquitous Environments

      • Hillol Kargupta, Michael Gilligan, Vasundhara Puttagunta, Kakali Sarkar, Martin Klein, Nick Lenzi et al.

      Pages 235-254

4. Back Matter

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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 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.

• Clustering
• KDubiq
• algorithmic learning
• association rule mining
• classification
• cognition
• data mining
• data stream mining
• embedded systems
• intelligent systems
• knowledge discovery
• learning
• machine learning
• micro information systems
• modeling
• algorithm analysis and problem complexity

• Fraunhofer IAIS, Schloss Birlinghoven, Sankt Augustin, Germany

  Michael May

• Dipartimento di Informatica, Università del Piemonte Orientale Amedeo Avogadro, Alessandria, Italy

  Lorenza Saitta

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