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Ubiquitous Knowledge Discovery

Challenges, Techniques, Applications

  • Book
  • © 2010

Overview

Editors:
  1. Michael May

    1. Fraunhofer IAIS, Schloss Birlinghoven, Sankt Augustin, Germany

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  2. Lorenza Saitta

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

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  • Introduction to KDubiq
  • Surveys by leading researchers in the field
  • Building of next-generation intelligent systems

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6202)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (14 chapters)

  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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Keywords

About this book

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.

Editors and Affiliations

  • 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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