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Author: Elisa Bertino
Publisher: Springer Science & Business Media
ISBN: 1461562279
Category : Computers
Languages : en
Pages : 257
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Book Description
Recent years have seen an explosive growth in the use of new database applications such as CAD/CAM systems, spatial information systems, and multimedia information systems. The needs of these applications are far more complex than traditional business applications. They call for support of objects with complex data types, such as images and spatial objects, and for support of objects with wildly varying numbers of index terms, such as documents. Traditional indexing techniques such as the B-tree and its variants do not efficiently support these applications, and so new indexing mechanisms have been developed. As a result of the demand for database support for new applications, there has been a proliferation of new indexing techniques. The need for a book addressing indexing problems in advanced applications is evident. For practitioners and database and application developers, this book explains best practice, guiding the selection of appropriate indexes for each application. For researchers, this book provides a foundation for the development of new and more robust indexes. For newcomers, this book is an overview of the wide range of advanced indexing techniques. Indexing Techniques for Advanced Database Systems is suitable as a secondary text for a graduate level course on indexing techniques, and as a reference for researchers and practitioners in industry.
Author: Elisa Bertino
Publisher: Springer Science & Business Media
ISBN: 1461562279
Category : Computers
Languages : en
Pages : 257
Get Book
Book Description
Recent years have seen an explosive growth in the use of new database applications such as CAD/CAM systems, spatial information systems, and multimedia information systems. The needs of these applications are far more complex than traditional business applications. They call for support of objects with complex data types, such as images and spatial objects, and for support of objects with wildly varying numbers of index terms, such as documents. Traditional indexing techniques such as the B-tree and its variants do not efficiently support these applications, and so new indexing mechanisms have been developed. As a result of the demand for database support for new applications, there has been a proliferation of new indexing techniques. The need for a book addressing indexing problems in advanced applications is evident. For practitioners and database and application developers, this book explains best practice, guiding the selection of appropriate indexes for each application. For researchers, this book provides a foundation for the development of new and more robust indexes. For newcomers, this book is an overview of the wide range of advanced indexing techniques. Indexing Techniques for Advanced Database Systems is suitable as a secondary text for a graduate level course on indexing techniques, and as a reference for researchers and practitioners in industry.
Author: Elisa Bertino
Publisher:
ISBN: 9781461562283
Category :
Languages : en
Pages : 264
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Book Description
Author: Yannis Manolopoulos
Publisher: Springer Science & Business Media
ISBN: 1441985905
Category : Computers
Languages : en
Pages : 297
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Book Description
Advanced Database Indexing begins by introducing basic material on storage media, including magnetic disks, RAID systems and tertiary storage such as optical disk and tapes. Typical access methods (e.g. B+ trees, dynamic hash files and secondary key retrieval) are also introduced. The remainder of the book discusses recent advances in indexing and access methods for particular database applications. More specifically, issues such as external sorting, file structures for intervals, temporal access methods, spatial and spatio-temporal indexing, image and multimedia indexing, perfect external hashing methods, parallel access methods, concurrency issues in indexing and parallel external sorting are presented for the first time in a single book. Advanced Database Indexing is an excellent reference for database professionals and may be used as a text for advanced courses on the topic.
Author: Arnab Bhattacharya
Publisher: CRC Press
ISBN: 1466582545
Category : Business & Economics
Languages : en
Pages : 287
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Book Description
Fundamentals of Database Indexing and Searching presents well-known database searching and indexing techniques. It focuses on similarity search queries, showing how to use distance functions to measure the notion of dissimilarity. After defining database queries and similarity search queries, the book organizes the most common and representative index structures according to their characteristics. The author first describes low-dimensional index structures, memory-based index structures, and hierarchical disk-based index structures. He then outlines useful distance measures and index structures that use the distance information to efficiently solve similarity search queries. Focusing on the difficult dimensionality phenomenon, he also presents several indexing methods that specifically deal with high-dimensional spaces. In addition, the book covers data reduction techniques, including embedding, various data transforms, and histograms. Through numerous real-world examples, this book explores how to effectively index and search for information in large collections of data. Requiring only a basic computer science background, it is accessible to practitioners and advanced undergraduate students.
Author: Yannis Manolopoulos
Publisher:
ISBN: 9781441985910
Category :
Languages : en
Pages : 312
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Book Description
Author: Carlo Zaniolo
Publisher: Morgan Kaufmann
ISBN: 9781558604438
Category : Computers
Languages : en
Pages : 596
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Book Description
The database field has experienced a rapid and incessant growth since the development of relational databases. The progress in database systems and applications has produced a diverse landscape of specialized technology areas that have often become the exclusive domain of research specialists. Examples include active databases, temporal databases, object-oriented databases, deductive databases, imprecise reasoning and queries, and multimedia information systems. This book provides a systematic introduction to and an in-depth treatment of these advanced database areas. It supplies practitioners and researchers with authoritative coverage of recent technological advances that are shaping the future of commercial database systems and intelligent information systems. Advanced Database Systems was written by a team of six leading specialists who have made significant contributions to the development of the technology areas covered in the book. Benefiting from the authors' long experience teaching graduate and professional courses, this book is designed to provide a gradual introduction to advanced research topics and includes many examples and exercises to support its use for individual study, desk reference, and graduate classroom teaching.
Author: Li Yan
Publisher: IGI Global
ISBN: 9781609604752
Category : Computers
Languages : en
Pages : 0
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Book Description
"This book focuses on technologies and methodologies of database queries, XML and metadata queries, and applications of database query systems, aiming at providing a single account of technologies and practices in advanced database query systems"--Provided by publisher.
Author: Daniel Martin
Publisher: Mit Press
ISBN: 9780262631075
Category : Computers
Languages : en
Pages : 330
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Book Description
Advanced Database Techniques combines advanced techniques with practical advice and many new ideas, methods, and examples for database management students, system specialists, and programmers. It provides a wealth of technical information on database methods and an encyclopedic coverage of advanced techniques that other current books on database lack.An overview covers important definitions in the area of database management and describes such classical notions as file structures, conceptual, physical and external schemas, and relational, network, hierarchical, and entity-relationship models. Remaining chapters offer advanced techniques, methods, and practical advice for functional specification and system design of a database-oriented interactive application; database architecture with qualitative and quantitative optimizations; the prediction of loads and response times; data representation, packing, and protection; selection of data elements and structures in a database; practical extensions of the relational theory to include dynamic relations and schemas, existence and processing constraints and coroutines; software architectures (functional interface and decision machine); and open databases for robotics, image processing, CAD, and artificial intelligence.Extended definitions are provided for conceptual schema, view, soft constraints and selection, relation, and dynamic schema. And an entire chapter is devoted to MSD, a new relational approach to specification and design. New software architectures for database applications are also covered. Advanced Database Techniques describes the 15 functions of a database management system and its internal mechanisms and provides a complete product review of the DBMS ORACLE as well as advice on DBMS purchasing and database administration.Daniel Martin is an independent consultant living in France. He designed and installed the largest distributed database in Europe. Advanced Database Techniques is included in the Information series, edited by Michael Lesk.
Author: Joseph M. Hellerstein
Publisher: MIT Press
ISBN: 9780262693141
Category : Computers
Languages : en
Pages : 884
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Book Description
The latest edition of a popular text and reference on database research, with substantial new material and revision; covers classical literature and recent hot topics. Lessons from database research have been applied in academic fields ranging from bioinformatics to next-generation Internet architecture and in industrial uses including Web-based e-commerce and search engines. The core ideas in the field have become increasingly influential. This text provides both students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area--the basic material for any DBMS professional. This fourth edition has been substantially updated and revised, with 21 of the 48 papers new to the edition, four of them published for the first time. Many of the sections have been newly organized, and each section includes a new or substantially revised introduction that discusses the context, motivation, and controversies in a particular area, placing it in the broader perspective of database research. Two introductory articles, never before published, provide an organized, current introduction to basic knowledge of the field; one discusses the history of data models and query languages and the other offers an architectural overview of a database system. The remaining articles range from the classical literature on database research to treatments of current hot topics, including a paper on search engine architecture and a paper on application servers, both written expressly for this edition. The result is a collection of papers that are seminal and also accessible to a reader who has a basic familiarity with database systems.
Author: Lena Wiese
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110433079
Category : Computers
Languages : en
Pages : 374
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Book Description
Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions. This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.
