Introduction to databases : from biological to spatio-temporal
著者
書誌事項
Introduction to databases : from biological to spatio-temporal
（Texts in computer science）
Springer, c2010
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注記
Includes bibliography (p. [701]-737) and index
内容説明・目次
内容説明
Introduced forty years ago, relational databases proved unusually succe- ful and durable. However, relational database systems were not designed for modern applications and computers. As a result, specialized database systems now proliferate trying to capture various pieces of the database market. Database research is pulled into di?erent directions, and speci- ized database conferences are created. Yet the current chaos in databases is likely only temporary because every technology, including databases, becomes standardized over time. The history of databases shows periods of chaos followed by periods of dominant technologies. For example, in the early days of computing, users stored their data in text ?les in any format and organization they wanted. These early days were followed by information retrieval systems, which required some structure for text documents, such as a title, authors, and a publisher. The information retrieval systems were followed by database systems, which added even more structure to the data and made querying easier. In the late 1990s, the emergence of the Internet brought a period of relative chaos and interest in unstructured and "semistructured data" as it wasenvisionedthateverywebpagewouldbelikeapageinabook.However, with the growing maturity of the Internet, the interest in structured data was regained because the most popular websites are, in fact, based on databases. The question is not whether future data stores need structure but what structure they need.
目次
Data Models, Queries, Evaluation
Propositional Databases
Relational Databases
Constraint Databases
Temporal Databases
Geographic Databases
Moving Objects Databases
Image Databases
Constraint Objects Databases
Genome Databases
Set Databases
Constraint Deductive Databases
The MLPQ System
The DISCO System
Database Design
Interoperability
Data Integration
Interpolation and Approximation
Prediction and Data Mining
Indexing
Data Visualization
Safe Query Languages
Evaluation of Queries
Implementation Methods
Computational Complexity
Software Verification
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