Advanced Topics in Database Research, Volume 1

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Siau, Keng
Idea Group Inc (IGI), 01.07.2001 - 409 Seiten

Advanced Topics in Database Research features the latest, cutting-edge research findings dealing with all aspects of database management, systems analysis and design and software engineering. This book provides information that is instrumental in the improvement and development of theory and practice related to information technology and management of information resources.

*Note: This book is part of a new series entitled "Advanced Topics in Database Research". This book is Volume 1 within this series (Vol. 1, 2002).

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Inhalt

Refinement of the Contemporary Database Model and Technique
119
Section III Integration with the Internet Technology
229
Applications of Unified Modeling Language
293
About the Authors
383
Index
390
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Seite 273 - MeWS has the capability to enter the patient's geographical location. The various software components of the MeWS help to facilitate clinical data entry, acquisition and retrieval. MeWS enables the generation of medical facility status reports, the monitoring of disease surveillance, the updating of supplies, and tracking of evacuation requirements. The Field Medical Surveillance System (FMSS) is an expert system that systematically detects and monitors epidemiological trends and profiles patient...
Seite 276 - Methodology keeps people focused on the proper tasks and activities required at a specific step of a transformation project. It acts as a rallying point for cross-functional teams, facilitators, and managers as it informs them about where the project is and where it is going (Paper and Dickinson, 1997).
Seite 277 - From initial mission receipt through deployment, operations, and transition to follow-on operations. Army elements will execute their responsibilities through a deliberate set of patterns of operation. These patterns are not phases, nor are they sequential.
Seite 120 - In Loucopoulos, P. and Zicari, R. (Eds.), Conceptual Modeling, Databases and Case, 2732.
Seite 66 - data" classes (also termed "entity" classes), namely, classes that are derived from the application requirements and contain "real world" data. (Other classes will be added at the design stage.) Each class includes attributes of various types (eg, atomic, multi-valued and tupels of attributes, keys, sets, and reference attributes). Association types between classes include "regular...

Autoren-Profil (2001)

Read Keng Siau's bio at: http://people.mst.edu/faculty/siauk. [Editor]

Bibliografische Informationen