Computer-based information technologies have been extensively used to help industries manage their processes and information systems hereby - come their nervous center. More specially, da… Mehr…
Computer-based information technologies have been extensively used to help industries manage their processes and information systems hereby - come their nervous center. More specially, databases are designed to s- port the data storage, processing, and retrieval activities related to data management in information systems. Database management systems p- vide efficient task support and database systems are the key to impleme- ing industrial data management. Industrial data management requires da- base technique support. Industrial applications, however, are typically data and knowledge intensive applications and have some unique character- tics that makes their management difficult. Besides, some new techniques such as Web, artificial intelligence, and etc. have been introduced into - dustrial applications. These unique characteristics and usage of new te- nologies have put many potential requirements on industrial data mana- ment, which challenge today’s database systems and promote their evolvement. Viewed from database technology, information modeling in databases can be identified at two levels: (conceptual) data modeling and (logical) database modeling. This results in conceptual (semantic) data model and logical database model. Generally a conceptual data model is designed and then the designed conceptual data model will be transformed into a chosen logical database schema. Database systems based on logical database model are used to build information systems for data mana- ment. Much attention has been directed at conceptual data modeling of - dustrial information systems. Product data models, for example, can be views as a class of semantic data models (i. e., Springer<
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*Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information* - Auflage 2006 / pdf eBook für 96.49 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher nein eBook als pdf eBooks > Fachthemen & Wissenschaft > Mathematik, Springer-Verlag GmbH<
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Computer-based information technologies have been extensively used to help industries manage their processes and information systems hereby - come their nervous center. More specially, da… Mehr…
Computer-based information technologies have been extensively used to help industries manage their processes and information systems hereby - come their nervous center. More specially, databases are designed to s- port the data storage, processing, and retrieval activities related to data management in information systems. Database management systems p- vide efficient task support and database systems are the key to impleme- ing industrial data management. Industrial data management requires da- base technique support. Industrial applications, however, are typically data and knowledge intensive applications and have some unique character- tics that makes their management difficult. Besides, some new techniques such as Web, artificial intelligence, and etc. have been introduced into - dustrial applications. These unique characteristics and usage of new te- nologies have put many potential requirements on industrial data mana- ment, which challenge today’s database systems and promote their evolvement. Viewed from database technology, information modeling in databases can be identified at two levels: (conceptual) data modeling and (logical) database modeling. This results in conceptual (semantic) data model and logical database model. Generally a conceptual data model is designed and then the designed conceptual data model will be transformed into a chosen logical database schema. Database systems based on logical database model are used to build information systems for data mana- ment. Much attention has been directed at conceptual data modeling of - dustrial information systems. Product data models, for example, can be views as a class of semantic data models (i. e., Springer<
Nr. 978-3-540-33013-4. Versandkosten:Worldwide free shipping, , DE. (EUR 0.00)
*Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information* - Auflage 2006 / pdf eBook für 96.49 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien… Mehr…
*Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information* - Auflage 2006 / pdf eBook für 96.49 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher nein eBook als pdf eBooks > Fachthemen & Wissenschaft > Mathematik, Springer-Verlag GmbH<
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Buch in der Datenbank seit 2017-04-21T03:24:35+02:00 (Berlin) Detailseite zuletzt geändert am 2024-02-17T18:32:47+01:00 (Berlin) ISBN/EAN: 9783540330134
ISBN - alternative Schreibweisen: 978-3-540-33013-4 Alternative Schreibweisen und verwandte Suchbegriffe: Titel des Buches: information, database engineering
Daten vom Verlag:
Autor/in: Zongmin Ma Titel: Studies in Fuzziness and Soft Computing; Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information Verlag: Springer; Springer Berlin 210 Seiten Erscheinungsjahr: 2008-09-12 Berlin; Heidelberg; DE Sprache: Englisch 99,00 € (DE)
EA; E107; eBook; Nonbooks, PBS / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Database Modeling; Engineering Data Management; Unified Modeling Language (UML); database; databases; fuzzy; fuzzy logic; fuzzy set; fuzzy sets; model; modeling; object-oriented database; relational database; uncertainty; C; Mathematical and Computational Engineering Applications; Database Management; Artificial Intelligence; Applications of Mathematics; Engineering; Datenbanken; Künstliche Intelligenz; Angewandte Mathematik; BC
Engineering Information Modeling in Databases.- Information Imprecision and Uncertainty in Engineering.- Fuzzy Sets and Possibility Distributions.- The Fuzzy ER/EER and UML Data Models.- The Fuzzy IDEF1X Models.- The Fuzzy EXPRESS Model.- The Fuzzy Logical Databases.- Conceptual Designs of the Fuzzy Databases.- Relational and Nested Relational Database Implementations of the Fuzzy IDEF1X and EXPRESS-G Models.- Object-Oriented Database Implementation of the Fuzzy EXPRESS Model.
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