| 书目名称 | Time Granularities in Databases, Data Mining, and Temporal Reasoning | | 编辑 | Claudio Bettini,Sushil Jajodia,X. Sean Wang | | 视频video | | | 概述 | Presents a uniform, general, and technical framework for the many issues involved in dealing with multiple granularities in temporal databases.Includes supplementary material: | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2000 | | 关键词 | Temporal database; calendars; data mining; database; information system; knowledge base; knowledge discove | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-04228-1 | | isbn_softcover | 978-3-642-08634-2 | | isbn_ebook | 978-3-662-04228-1 | | copyright | Springer-Verlag Berlin Heidelberg 2000 |
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发表于 2025-3-21 17:06:03
