Secure CheckoutPersonal information is secured with SSL technology.
Free ShippingFree global shipping
No minimum order.
Principles of Database Query Processing for Advanced Applications
Clement Yu and Weiyi Meng
- 1. Introduction to Relational Query Processing
- 1.1 The Relational Data Model
- 1.2 An Overview of query Processing and Optimization
- 1.3 Fast Access Paths
- 1.4 Single Operation Processing
- 1.5 Determining the execution Order of Operations
- 2. Query Processing In Object-Oriented Database Systems
- 2.1 Object-Oriented Data Model
- 2.2 OQL: An Object-Oriented Query Language
- 2.3 OODB Query Processing and Optimization
- 2.4 Indexes in OODB Systems
- 3. Query Processing in Distributed Relational Database Systems
- 3.1 Distributed Database Concepts
- 3.2 Distributed Processing of Joins
- 3.3 Processing Chain Queries
- 3.4 Semi-Join
- 3.5 Combining Semi-Joins with Joins
- 4. Query Processing in Multidabase Systems
- 4.1 Multidatabase System Architecture
- 4.2 Schema Integration Operators and Data Inconsistencies
- 4.3 Global Query Optimization
- 4.4 Query Translation
- 5. Parallel Processing of Relational Queries
- 5.1 Basic Concepts of Parallel Processing
- 5.2 Data Partitioning Techniques
- 5.3 Parallel Sorting Algorithms
- 5.4 Parallel Processing of Selections and Projections
- 5.5 Parallel Processing of Joins
- 5.6 Parallel Query Optimization
- 6. Processing Fuzzy Relational Queries
- 6.1 Fuzzy Set and Fuzzy Term
- 6.2 Satisfaction of a Tuple with Respect to a Query
- 6.3 Transformation of Nested SQL Queries to Unnested SQL Queries
- 6.4 Unnesting of Fuzzy Queries
- 6.5 Context-Dependent Interpretations of Fuzzy Terms
- 7. Query Processing in Deductive Database Systems
- 7.1 Basic Concepts
- 7.2 Computing Derived Relations
- 8. Multidimensional Search Structures
- 8.1 G-Tree
- 8.2 Quadtree
- 8.3 R*-Tree
- 9. Text Retrieval
- 9.1 An Overview of Text Retrieval and Classification
- 9.2 Retrieval Effectiveness
- 9.3 Relevance Feedback
- 9.4 Specialized Hardware
- 9.5 Other Retrieval Methods
- 10. Text Clustering and Clustered Search
- 10.1 Text Clustering
- 10.2 Clustered Search
- 11. Image and Video Retrieval
- 11.1 Picture Retrieval
- 11.2 Video Retrieval
The aim of query processing is to find information in one or more databases and deliver it to the user quickly and efficiently. Traditional techniques work well for databases with standard, single-site relational structures, but databases containing more complex and diverse types of data demand new query processing and optimization techniques.
Most real-world data is not well structured. Today's databases typically contain much non-structured data such as text, images, video, and audio, often distributed across computer networks. In this complex milieu (typified by the world wide Web), efficient and accurate query processing becomes quite challenging.
Principles of Database Query Processing for Advanced Applications teaches the basic concepts and techniques of query processing and optimization for a variety of data forms and database systems, whether structured or unstructured.
- This is the only reference work that covers query processing and optimization techniques for structured and unstructured data, written with the non-expert in mind, with a minimum of mathematical details.
- This book teaches query processing techniques for multimedia, object-oriented, deductive, parallel, and distributed databases, as well as heterogeneous multidatabase systems, fuzzy relational databases, and techniques for different types of unstructured data.
- Each chapter contains examples, tables and figures, class exercises, and a detailed bibliography.
- No. of pages:
- © Morgan Kaufmann 1997
- 20th January 1998
- Morgan Kaufmann
- Hardcover ISBN:
- Paperback ISBN:
- eBook ISBN:
Clement Yu holds a Ph.D. in Computer Science from Cornell University, and is currently a professor in the Department of Electrical Engineering and Computer Science at the University of Illinois, Chicago. He served as chairman of the ACM Special Interest Group on Information Retrieval, as an advisory committee member to the National Science Foundation, and as general chair/program committee chair to several database/information retrieval conferences and workshops. He has consulted for System Development Corporation (now Unisys) on distributed query processing, for MCC and Unisql on query processing in heterogeneous database systems, worked on a fuzzy database system project for Omron Corporation. He is a member of Linden Technology which applies associative memory for advanced database applications. Dr. Yu is an associate editor/on the editorial board of IEEE Transactions on Knowledge and Data Engineering, the Journal of Distributed and Parallel Databases and the International Journal of Software Engineering and Knowledge Engineering. His research interests include database management, information retrieval for multimedia, and applications to medicine.
Weiyi Meng holds a Ph.D. from the University of Illinois, Chicago, and is an Assistant Professor in the Department of Computer Science at the State University of New York, Binghamton. His research interests include heterogeneous database systems, query processing, Internet-based information retrieval, view maintenance and fuzzy databases. He has published in many well-established journals and conference proceedings.