Muutke küpsiste eelistusi

Time Granularities in Databases, Data Mining, and Temporal Reasoning Softcover reprint of the original 1st ed. 2000 [Pehme köide]

  • Formaat: Paperback / softback, 230 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, XI, 230 p., 1 Paperback / softback
  • Ilmumisaeg: 01-Dec-2010
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642086349
  • ISBN-13: 9783642086342
  • Pehme köide
  • Hind: 48,70 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 57,29 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 230 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, XI, 230 p., 1 Paperback / softback
  • Ilmumisaeg: 01-Dec-2010
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642086349
  • ISBN-13: 9783642086342
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.

Muu info

Springer Book Archives
1. Introduction.-
2. Granularity Systems.-
3. Design of Temporal Databases with Multiple Granularities.-
4. Querying Temporal Databases with Multiple Views.-
5. Constraint Reasoning.-
6. An Application to Knowledge Discovery.-
7. Open Issues and Research Directions.-
8. Appendix: Proofs.