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Time Granularities in Databases, Data Mining, and Temporal Reasoning [Hardcover]

Claudio Bettini (Author), Sushil Jajodia (Author), Xiaoyang Sean Wang (Author)

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Book Description

Publication Date: August 17, 2000 | ISBN-10: 3540669973 | ISBN-13: 978-3540669975 | Edition: 1

Calendar and time units 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, is important for the efficient design, use, and implementation of such applications. This book deals with several aspects of temporal information and provides a unifying model for granularities. Practitioners can learn about critical aspects that must be taken into account when designing and implementing databases supporting temporal information.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } Calendar and time units 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, is important for the efficient design, use, and implementation of such applications. This book deals with several aspects of temporal information and provides a unifying model for granularities. Practitioners can learn about critical aspects that must be taken into account when designing and implementing databases supporting temporal information.

Product Details

Hardcover: 241 pages
Publisher: Springer; 1 edition (August 17, 2000)
Language: English
ISBN-10: 3540669973
ISBN-13: 978-3540669975
Product Dimensions: 9.5 x 6.4 x 0.8 inches
Shipping Weight: 1.2 pounds (View shipping rates and policies)
Amazon Best Sellers Rank: #3,431,152 in Books (See Top 100 in Books)

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› Visit Amazon's Claudio Bettini Page

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