Overview
- Presents a uniform, general, and technical framework for the many issues involved in dealing with multiple granularities in temporal databases
- Includes supplementary material: sn.pub/extras
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About this book
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.
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Table of contents (8 chapters)
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Front Matter
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Time Granularities
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Front Matter
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Applications to Databases
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Front Matter
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Reasoning with Time Granularities and Its Applications
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Front Matter
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Conclusion
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Time Granularities in Databases, Data Mining, and Temporal Reasoning
Authors: Claudio Bettini, Sushil Jajodia, X. Sean Wang
DOI: https://doi.org/10.1007/978-3-662-04228-1
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2000
Hardcover ISBN: 978-3-540-66997-5Published: 13 July 2000
Softcover ISBN: 978-3-642-08634-2Published: 01 December 2010
eBook ISBN: 978-3-662-04228-1Published: 29 June 2013
Edition Number: 1
Number of Pages: XI, 230
Topics: Data Structures and Information Theory, Database Management, Information Systems Applications (incl. Internet), Logics and Meanings of Programs, Programming Techniques