Adaptive Query Processing

Adaptive Query Processing PDF Author: Amol Deshpande
Publisher: Now Publishers Inc
ISBN: 1601980345
Category : Computers
Languages : en
Pages : 156

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Book Description
Adaptive Query Processing surveys the fundamental issues, techniques, costs, and benefits of adaptive query processing. It begins with a broad overview of the field, identifying the dimensions of adaptive techniques. It then looks at the spectrum of approaches available to adapt query execution at runtime - primarily in a non-streaming context. The emphasis is on simplifying and abstracting the key concepts of each technique, rather than reproducing the full details available in the papers. The authors identify the strengths and limitations of the different techniques, demonstrate when they are most useful, and suggest possible avenues of future research. Adaptive Query Processing serves as a valuable reference for students of databases, providing a thorough survey of the area. Database researchers will benefit from a more complete point of view, including a number of approaches which they may not have focused on within the scope of their own research.

Adaptive Query Processing

Adaptive Query Processing PDF Author: Amol Deshpande
Publisher: Now Publishers Inc
ISBN: 1601980345
Category : Computers
Languages : en
Pages : 156

Get Book Here

Book Description
Adaptive Query Processing surveys the fundamental issues, techniques, costs, and benefits of adaptive query processing. It begins with a broad overview of the field, identifying the dimensions of adaptive techniques. It then looks at the spectrum of approaches available to adapt query execution at runtime - primarily in a non-streaming context. The emphasis is on simplifying and abstracting the key concepts of each technique, rather than reproducing the full details available in the papers. The authors identify the strengths and limitations of the different techniques, demonstrate when they are most useful, and suggest possible avenues of future research. Adaptive Query Processing serves as a valuable reference for students of databases, providing a thorough survey of the area. Database researchers will benefit from a more complete point of view, including a number of approaches which they may not have focused on within the scope of their own research.

Adaptive query processing in pipelined plans

Adaptive query processing in pipelined plans PDF Author: Kwanchai Eurviriyanukul
Publisher:
ISBN:
Category :
Languages : en
Pages : 235

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Book Description


Adaptive Query Processing

Adaptive Query Processing PDF Author: Pedro G. Bizarro
Publisher:
ISBN:
Category :
Languages : en
Pages : 202

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Book Description


Adaptive Query Processing in Data Stream Management Systems

Adaptive Query Processing in Data Stream Management Systems PDF Author: Shivnath Babu
Publisher:
ISBN:
Category :
Languages : en
Pages : 486

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Book Description


Advanced Query Processing

Advanced Query Processing PDF Author: Barbara Catania
Publisher: Springer Science & Business Media
ISBN: 3642283233
Category : Technology & Engineering
Languages : en
Pages : 355

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Book Description
This research book presents key developments, directions, and challenges concerning advanced query processing for both traditional and non-traditional data. A special emphasis is devoted to approximation and adaptivity issues as well as to the integration of heterogeneous data sources. The book will prove useful as a reference book for senior undergraduate or graduate courses on advanced data management issues, which have a special focus on query processing and data integration. It is aimed for technologists, managers, and developers who want to know more about emerging trends in advanced query processing.

Efficient Optimization and Processing of Queries Over Text-rich Graph-structured Data

Efficient Optimization and Processing of Queries Over Text-rich Graph-structured Data PDF Author: Günter Ladwig
Publisher: KIT Scientific Publishing
ISBN: 3731500159
Category : Computers
Languages : en
Pages : 254

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Book Description
Many databases today capture both, structured and unstructured data. Making use of such hybrid data has become an important topic in research and industry. The efficient evaluation of hybrid data queries is the main topic of this thesis. Novel techniques are proposed that improve the whole processing pipeline, from indexes and query optimization to run-time processing. The contributions are evaluated in extensive experiments showing that the proposed techniques improve upon the state of the art.

Knowledge Graphs and Big Data Processing

Knowledge Graphs and Big Data Processing PDF Author: Valentina Janev
Publisher: Springer Nature
ISBN: 3030531996
Category : Computers
Languages : en
Pages : 212

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Book Description
This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

Cloud Computing and Digital Media

Cloud Computing and Digital Media PDF Author: Kuan-Ching Li
Publisher: CRC Press
ISBN: 1466569182
Category : Computers
Languages : en
Pages : 423

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Book Description
Cloud Computing and Digital Media: Fundamentals, Techniques, and Applications presents the fundamentals of cloud and media infrastructure, novel technologies that integrate digital media with cloud computing, and real-world applications that exemplify the potential of cloud computing for next-generation digital media. It brings together technologie

Semantic Web Services for Web Databases

Semantic Web Services for Web Databases PDF Author: Mourad Ouzzani
Publisher: Springer Science & Business Media
ISBN: 1461416442
Category : Computers
Languages : en
Pages : 152

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Book Description
Semantic Web Services for Web Databases introduces an end-to-end framework for querying Web databases using novel Web service querying techniques. This includes a detailed framework for the query infrastructure for Web databases and services. Case studies are covered in the last section of this book. Semantic Web Services For Web Databases is designed for practitioners and researchers focused on service-oriented computing and Web databases.

Handbook of Research on Machine Learning Innovations and Trends

Handbook of Research on Machine Learning Innovations and Trends PDF Author: Hassanien, Aboul Ella
Publisher: IGI Global
ISBN: 1522522301
Category : Computers
Languages : en
Pages : 1269

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Book Description
Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression. The Handbook of Research on Machine Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.