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Table of contents

  1. Front Matter
    Pages I-XI
  2. Time Granularities

    1. Front Matter
      Pages 1-1
    2. Claudio Bettini, Sushil Jajodia, X. Sean Wang
      Pages 3-10
    3. Claudio Bettini, Sushil Jajodia, X. Sean Wang
      Pages 11-44
  3. Applications to Databases

    1. Front Matter
      Pages 45-45
    2. Claudio Bettini, Sushil Jajodia, X. Sean Wang
      Pages 47-81
    3. Claudio Bettini, Sushil Jajodia, X. Sean Wang
      Pages 83-113
  4. Reasoning with Time Granularities and Its Applications

    1. Front Matter
      Pages 115-115
    2. Claudio Bettini, Sushil Jajodia, X. Sean Wang
      Pages 117-151
    3. Claudio Bettini, Sushil Jajodia, X. Sean Wang
      Pages 153-173
  5. Conclusion

    1. Front Matter
      Pages 175-175
    2. Claudio Bettini, Sushil Jajodia, X. Sean Wang
      Pages 177-184
    3. Claudio Bettini, Sushil Jajodia, X. Sean Wang
      Pages 185-221
  6. Back Matter
    Pages 223-230

About this book

Introduction

Calendar units, such as months and days, clock units, such as hours and seconds, and specialized units, such as business days and academic years, play a major role in a wide range of information system applications. System support for reasoning about these units, called granularities in this book, is important for the efficient design, use, and implementation of such applications. The book deals with several aspects of temporal information and provides a unifying model for granularities. It is intended for computer scientists and engineers who are interested in the formal models and technical development of specific issues. Practitioners can learn about critical aspects that must be taken into account when designing and implementing databases supporting temporal information. Lecturers may find this book useful for an advanced course on databases. Moreover, any graduate student working on time representation and reasoning, either in data or knowledge bases, should definitely read it.

Keywords

Temporal database calendars data mining database information system knowledge base knowledge discovery temporal reasoning time granularity

Authors and affiliations

  • Claudio Bettini
    • 1
  • Sushil Jajodia
    • 2
  • X. Sean Wang
    • 2
  1. 1.Information Science DepartmentUniversity of MilanMilanItaly
  2. 2.Department of Information and Software EngineeringGeorge Mason UniversityFairfaxUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-04228-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2000
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-08634-2
  • Online ISBN 978-3-662-04228-1
  • Buy this book on publisher's site