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Books > Computing & IT > Applications of computing > Databases

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Time Granularities in Databases, Data Mining, and Temporal Reasoning (Hardcover, 2000 ed.) Loot Price: R2,075
Discovery Miles 20 750
You Save: R444 (18%)
Time Granularities in Databases, Data Mining, and Temporal Reasoning (Hardcover, 2000 ed.): Claudio Bettini, Sushil Jajodia,...

Time Granularities in Databases, Data Mining, and Temporal Reasoning (Hardcover, 2000 ed.)

Claudio Bettini, Sushil Jajodia, Sean Wang

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List price R2,519 Loot Price R2,075 Discovery Miles 20 750 | Repayment Terms: R193 pm x 12* You Save R444 (18%)

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Release date: July 2000
First published: 2000
Authors: Claudio Bettini • Sushil Jajodia • Sean Wang
Dimensions: 235 x 155 x 15mm (L x W x T)
Format: Hardcover
Pages: 230
Edition: 2000 ed.
ISBN-13: 978-3-540-66997-5
Categories: Books > Computing & IT > Applications of computing
Books > Computing & IT > Applications of computing > Databases
Books > Computing & IT > Applications of computing > Databases > General
LSN: 3-540-66997-3
Barcode: 9783540669975

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