Here is a reference for seasoned professionals and researchers in the area that also provides a gentle introduction, making it accessible to senior undergraduate students or first-year graduate students embarking upon research in areas related to the BWT.
Presenting a systematic introduction to temporal model and time calculation, this volume explores temporal information processing technology and its applications. Topics include the time model in terms of calculus and logic, temporal data models and database concepts, temporal query language, and more.
The systems used to process data streams and provide for the needs of stream-based applications are Data Stream Management Systems (DSMSs). This book presents a new paradigm to meet the needs of these applications, including a detailed discussion of the techniques proposed.
This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results.
Semantic Web Services for Web Databases introduces an end-to-end framework for querying Web databases using novel querying techniques. Readers will find a detailed overview of the query infrastructure for Web databases and services.
This book covers techniques for semantic information management by exploiting synergies between the logical basis of the Semantic Web and the logical foundations of data management. It offers models and methods tailored to easier machine processing on the Web.
The field of database security has expanded greatly, with the rapid development of global inter-networked infrastructure. This book identifies and addresses these new challenges and more, offering solid advice for practitioners and researchers in industry.
Schema Matching and Mapping provides an overview of the ways in which the schema and ontology matching and mapping tools have addressed information systems requirements. Topics include effective methods for matching data, mapping transformation verification, mapping-driven schema evolution and merging.