Database and Data Communication Network Systems, by Cornelius T. Leondes

By Cornelius T. Leondes

Database and knowledge communique community structures examines the usage of the web and native Area/Wide zone Networks in all components of human undertaking. This three-volume set covers, between different themes, database structures, info compression, database structure, information acquisition, asynchronous move mode (ATM) and the sensible program of those applied sciences. The foreign number of participants used to be culled from exhaustive learn of over 100,000 similar archival and technical journals. This reference might be crucial to engineering and desktop technological know-how libraries, learn libraries, and telecommunications, networking, and machine businesses. It covers a various array of subject matters, including:* thoughts in rising database process architectures* concepts and functions in info mining* Object-oriented database platforms* info acquisition at the WWW in the course of heavy client/server site visitors classes* info exploration at the WWW* schooling and coaching in multimedia database platforms* info constitution innovations in speedy prototyping and production* instant ATM in information networks for cellular platforms* purposes in company finance* medical info visualization* info compression and knowledge retrieval* innovations in scientific structures, extensive care devices

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Extra resources for Database and Data Communication Network Systems, Three-Volume Set: Techniques and Applications

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Deductive Data Model A deductive database uses facts and rules, which are concepts from the artificially intelligent arena. Unlike other database systems, the deductive database defines what a database process wants to achieve rather than specifying the details of how to achieve it. The facts are a collection of ground predicates in the first-order logic manner. For example. Mother (John, Mary) can be used to describe that John's mother is Mary. Rules are the core of a deductive database. They describe the relationships among facts.

A table cannot have more than one multivalued dependency. 5. A table cannot be decomposed into smaller tables then rejoined without losing facts and meaning. I0 TIMON C. DU IV. NEXT GENERATION DATA MODEL From the 1970s to 1990s, the relational database model replaced the hierarchical database model and network database model in most application areas. However, the constraints on simple and uniform data types and normalization requirements of the relational database model limited the implementation scopes, such as the operations on version maintenance, long transaction time, quick and complex data retrieval, evolutionary nature, and knowledge generation.

Such a clause can have at most one positive atom formula (literal). For example, a rule can be written as, if Pi and P2 . . and P„ are true, then Q is true (it can be written formally as Q:- Pi, P 2 , . . , P„) where Q is the only positive literal. If there is no positive literal, the rule is used for integrity control, referential integrity, and entity integrity, such as Pi, P2,... ,P„. Another important feature of a deductive database is that only facts and rules are physically stored in the database.

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