Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    UID:
    almahu_9947920876602882
    Format: VIII, 252 p. , online resource.
    ISBN: 9783540391241
    Series Statement: Lecture Notes in Computer Science, 305
    Content: This volume contains the 13 best of the 18 papers presented at the first MFDBS conference held in Dresden, GDR, January 19-23, 1987. A short summary of the two panel discussions is also included. The volume is intended to be a reflection of the current state of knowledge and a guide to further development in database theory. The main topics covered are: theoretical fundaments of the relational data model (dependency theory, design theory, null values, query processing, complexity theory), and of its extensions (graphical representations, NF2-models), conceptual modelling of distributed database management systems and the relationship between logic and databases.
    Note: Information measurement in relational databases -- On hierarchical normal forms -- Data manipulation languages for the universal relation view DURST -- The equivalence problem for relational database schemes -- On global context dependencies and their properties -- Functional dependency implications, inducing horizontal decompositions -- Extremal combinatorial problems of database models -- A formal model for distributed information systems -- A theory of reference graphs in relational databases -- Modal logic and incomplete information -- Designing alpha-acyclic BCNF-database schemes -- Design tools for large relational database systems -- Searching and retrieval in databases by trees -- Database models, where they are going now? -- Open problems in database theory.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540191216
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages