Time Granularities in Databases, Data Mining, and Temporal Reasoning

Claudio Bettini

ISBN 10: 3642086349 / ISBN 13: 9783642086342

Published by Springer Berlin Heidelberg Dez 2010, 2010

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 244 pp. Englisch.

Seller Inventory # 9783642086342

Bibliographic Details

• Title: Time Granularities in Databases, Data Mining, and Temporal Reasoning
• Publisher: Springer Berlin Heidelberg Dez 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 3642086349
• ISBN 13: 9783642086342
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 14D millimeters 235 millimeters width by 155 millimeters height by 14 millimeters depth
• Weight: 376 grams

About this title

Synopsis

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.