✦ LIBER ✦

Quantifying schema evolution

✍ Scribed by D Sjøberg

Publisher: Elsevier Science
Year: 1993
Tongue: English
Weight: 976 KB
Volume: 35
Category: Article
ISSN: 0950-5849
DOI: 10.1016/0950-5849(93)90027-z

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Schema Evolution in Data Warehouses

✍ Zohra Bellahsene 📂 Article 📅 2002 🏛 Springer-Verlag 🌐 English ⚖ 190 KB

Ontology Evolution: Not the Same as Sche

Ontology Evolution: Not the Same as Schema Evolution

✍ Natalya F. Noy; Michel Klein 📂 Article 📅 2004 🏛 Springer-Verlag 🌐 English ⚖ 348 KB

Quantifying chaotic synchronization usin

Quantifying chaotic synchronization using error evolution

✍ Bindu M. Krishna; P. Indic; Usha Nair; R. Pratap 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 590 KB

Evolution of synchronization error is used to quantify synchronization between coupled chaotic oscillators. A conceptually and computationally simple method to quantify synchronization is proposed by defining synchronization error decay coefficient (SEDC). SEDC can act as a bounded index of quality

Quantifying rates and processes of lands

Quantifying rates and processes of landscape evolution

✍ Arjun M. Heimsath; Oliver Korup 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 60 KB

Quantifying the evolution of higher orde

Quantifying the evolution of higher order clustering

✍ Jens Schmalzing; Stefan Gottlöber; Anatoly A. Klypin; Andrey V. Kravtsov 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 559 KB

Domain-knowledge-guided schema evolution

Domain-knowledge-guided schema evolution for accounting database systems

✍ Jia-Lin Chen; Dennis McLeod; Daniel O'Leary 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 996 KB