Advances in Probabilistic Databases for Uncertain Information Management

  • Zongmin Ma
  • Li Yan

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 304)

Table of contents

  1. Front Matter
    Pages 1-7
  2. John Grant, Francesco Parisi, V. S. Subrahmanian
    Pages 1-22
  3. Benny Kimelfeld, Pierre Senellart
    Pages 39-66
  4. Tingjian Ge, Alex Dekhtyar, Judy Goldsmith
    Pages 67-108
  5. Thomas Lukasiewicz, Gerardo I. Simari
    Pages 131-159
  6. Back Matter
    Pages 161-161

About this book

Introduction

This book covers a fast-growing topic in great depth and focuses on the technologies and applications of probabilistic data management. It aims to provide a single account of current studies in probabilistic data management. The objective of the book is to provide the state of the art information to researchers, practitioners, and graduate students of information technology of intelligent information processing, and at the same time serving the information technology professional faced with non-traditional applications that make the application of conventional approaches difficult or impossible.

Keywords

Probabilistic Databases Soft Computing Web Intelligence XML

Editors and affiliations

  • Zongmin Ma
    • 1
  • Li Yan
    • 2
  1. 1.College of Information Science & Engin., Inst. Computer ApplicationsNortheastern UniversityShenyangChina, People's Republic
  2. 2.College of Information Science & Engin., School of SoftwareNortheastern UniversityShenyangChina, People's Republic

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-37509-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-37508-8
  • Online ISBN 978-3-642-37509-5
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book