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Handbook of Research on Innovative Database Query Processing Techniques, Li Yan


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Автор: Li Yan
Название:  Handbook of Research on Innovative Database Query Processing Techniques
ISBN: 9781466687677
Издательство: Mare Nostrum (Eurospan)
Классификация:



ISBN-10: 1466687673
Обложка/Формат: Hardcover
Страницы: 599
Вес: 0.83 кг.
Дата издания: 30.10.2015
Серия: Advances in data mining and database management
Язык: English
Иллюстрации: Black & white illustrations
Размер: 279 x 216 x 35
Читательская аудитория: Professional and scholarly
Ключевые слова: Data capture & analysis
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Поставляется из: Англии
Описание: Focuses on database query processing methods, technologies, and applications. Aimed at providing an all-inclusive reference source of technologies and practices in advanced database query systems, this book investigates various techniques, including database and XML queries, spatiotemporal data queries, big data queries, metadata queries, and applications of database query systems.

Flexible Query Answering Systems

Автор: Troels Andreasen; Ronald R. Yager; Henrik Bulskov;
Название: Flexible Query Answering Systems
ISBN: 3642049567 ISBN-13(EAN): 9783642049569
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book constitutes the refereed proceedings of the 8th International Conference on Flexible Query Answering Systems, FQAS 2009, held in Roskilde, Denmark, in October 2009.

Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications

Автор: Bhattacharyya Siddhartha, Banerjee Pinaki, Majumdar Dipankar
Название: Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications
ISBN: 1466694742 ISBN-13(EAN): 9781466694743
Издательство: Mare Nostrum (Eurospan)
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Цена: 277200.00 T
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Описание: Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent.The Handbook of Research on Advanced Research on Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.

Data Management and Query Processing in Semantic Web Databases

Автор: Sven Groppe
Название: Data Management and Query Processing in Semantic Web Databases
ISBN: 3642435491 ISBN-13(EAN): 9783642435492
Издательство: Springer
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Цена: 93160.00 T
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Описание: Covering a vital aspect of the Semantic Web, itself the subject of virtually exponential increases in research dollars, this volume focuses on high-performance data management and the processing of queries in complex, real-world web applications.

Query Processing over Incomplete Databases

Автор: Yunjun Gao, Xiaoye Miao
Название: Query Processing over Incomplete Databases
ISBN: 1681734206 ISBN-13(EAN): 9781681734200
Издательство: Mare Nostrum (Eurospan)
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Цена: 51750.00 T
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Описание: Incomplete data is part of life and almost all areas of scientific studies. Users tend to skip certain fields when they fill out online forms; participants choose to ignore sensitive questions on surveys; sensors fail, resulting in the loss of certain readings; publicly viewable satellite map services have missing data in many mobile applications; and in privacy-preserving applications, the data is incomplete deliberately in order to preserve the sensitivity of some attribute values.Query processing is a fundamental problem in computer science, and is useful in a variety of applications. In this book, we mostly focus on the query processing over incomplete databases, which involves finding a set of qualified objects from a specified incomplete dataset in order to support a wide spectrum of real-life applications. We first elaborate the three general kinds of methods of handling incomplete data, including (i) discarding the data with missing values, (ii) imputation for the missing values, and (iii) just depending on the observed data values. For the third method type, we introduce the semantics of k-nearest neighbor (kNN) search, skyline query, and top-k dominating query on incomplete data, respectively. In terms of the three representative queries over incomplete data, we investigate some advanced techniques to process incomplete data queries, including indexing, pruning as well as crowdsourcing techniques.

Query Processing over Incomplete Databases

Автор: Yunjun Gao, Xiaoye Miao
Название: Query Processing over Incomplete Databases
ISBN: 1681734222 ISBN-13(EAN): 9781681734224
Издательство: Mare Nostrum (Eurospan)
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Цена: 72070.00 T
Наличие на складе: Невозможна поставка.
Описание: Incomplete data is part of life and almost all areas of scientific studies. Users tend to skip certain fields when they fill out online forms; participants choose to ignore sensitive questions on surveys; sensors fail, resulting in the loss of certain readings; publicly viewable satellite map services have missing data in many mobile applications; and in privacy-preserving applications, the data is incomplete deliberately in order to preserve the sensitivity of some attribute values.Query processing is a fundamental problem in computer science, and is useful in a variety of applications. In this book, we mostly focus on the query processing over incomplete databases, which involves finding a set of qualified objects from a specified incomplete dataset in order to support a wide spectrum of real-life applications. We first elaborate the three general kinds of methods of handling incomplete data, including (i) discarding the data with missing values, (ii) imputation for the missing values, and (iii) just depending on the observed data values. For the third method type, we introduce the semantics of k-nearest neighbor (kNN) search, skyline query, and top-k dominating query on incomplete data, respectively. In terms of the three representative queries over incomplete data, we investigate some advanced techniques to process incomplete data queries, including indexing, pruning as well as crowdsourcing techniques.

Advanced Query Processing

Автор: Barbara Catania; Lakhmi C. Jain
Название: Advanced Query Processing
ISBN: 3642433189 ISBN-13(EAN): 9783642433184
Издательство: Springer
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Цена: 139310.00 T
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Описание: Presenting key developments, likely future directions, and current challenges facing advanced query processing, this volume explains the methodology for both traditional and non-traditional data. It includes focused material on approximation and adaptivity.

An Introduction to XML Query Processing and Keyword Search

Автор: Jiaheng Lu
Название: An Introduction to XML Query Processing and Keyword Search
ISBN: 3642446078 ISBN-13(EAN): 9783642446078
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book systematically and comprehensively covers the latest advances in XML data searching. It presents an extensive overview of the current query processing and keyword search techniques on XML data.

Querying Graphs

Автор: Angela Bonifati, George Fletcher, Hannes Voigt, Nikolay Yakovets
Название: Querying Graphs
ISBN: 168173432X ISBN-13(EAN): 9781681734323
Издательство: Mare Nostrum (Eurospan)
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Цена: 97950.00 T
Наличие на складе: Невозможна поставка.
Описание: Graph data modeling and querying arises in many practical application domains such as social and biological networks where the primary focus is on concepts and their relationships and the rich patterns in these complex webs of interconnectivity. In this book, we present a concise unified view on the basic challenges which arise over the complete life cycle of formulating and processing queries on graph databases. To that purpose, we present all major concepts relevant to this life cycle, formulated in terms of a common and unifying ground: the property graph data model—the pre-dominant data model adopted by modern graph database systems.We aim especially to give a coherent and in-depth perspective on current graph querying and an outlook for future developments. Our presentation is self-contained, covering the relevant topics from: graph data models, graph query languages and graph query specification, graph constraints, and graph query processing. We conclude by indicating major open research challenges towards the next generation of graph data management systems.

Flexible Query Answering Systems

Автор: Henning Christiansen; H?l?ne Jaudoin; Panagiotis C
Название: Flexible Query Answering Systems
ISBN: 3319596918 ISBN-13(EAN): 9783319596914
Издательство: Springer
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Цена: 51230.00 T
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Описание: This book constitutes the refereed proceedings of the 12th International Conference on Flexible Query Answering Systems, FQAS 2017, held in London, UK, in June 2017. The 21 full papers presented in this book together with 4 short papers were carefully reviewed and selected from 43 submissions.

Querying Graphs

Автор: Angela Bonifati, George Fletcher, Hannes Voigt, Nikolay Yakovets
Название: Querying Graphs
ISBN: 1681734303 ISBN-13(EAN): 9781681734309
Издательство: Mare Nostrum (Eurospan)
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Цена: 76690.00 T
Наличие на складе: Невозможна поставка.
Описание: Graph data modeling and querying arises in many practical application domains such as social and biological networks where the primary focus is on concepts and their relationships and the rich patterns in these complex webs of interconnectivity. In this book, we present a concise unified view on the basic challenges which arise over the complete life cycle of formulating and processing queries on graph databases. To that purpose, we present all major concepts relevant to this life cycle, formulated in terms of a common and unifying ground: the property graph data model—the pre-dominant data model adopted by modern graph database systems.We aim especially to give a coherent and in-depth perspective on current graph querying and an outlook for future developments. Our presentation is self-contained, covering the relevant topics from: graph data models, graph query languages and graph query specification, graph constraints, and graph query processing. We conclude by indicating major open research challenges towards the next generation of graph data management systems.

Flexible Query Answering Systems

Автор: Henning Christiansen; Mohand-Said Hacid; Troels An
Название: Flexible Query Answering Systems
ISBN: 3540221603 ISBN-13(EAN): 9783540221609
Издательство: Springer
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Цена: 93160.00 T
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Описание: ThisvolumeconstitutestheproceedingsoftheSixthInternationalConferenceon Flexible Query Answering Systems, FQAS 2004, held in Lyon, France, on June 24-26, 2004. The overall theme of the FQAS conferences is innovative query systems aimed at providing easy, ?exible, and intuitive access to information.

Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering

Автор: Jeff Z. Pan; Diego Calvanese; Thomas Eiter; Ian Ho
Название: Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering
ISBN: 3319494929 ISBN-13(EAN): 9783319494920
Издательство: Springer
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Цена: 51230.00 T
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Описание:

This volume contains some lecture notes of the 12th Reasoning Web Summer School (RW 2016), held in Aberdeen, UK, in September 2016.

In 2016, the theme of the school was "Logical Foundation of Knowledge Graph Construction and Query Answering". The notion of knowledge graph has become popular since Google started to use it to improve its search engine in 2012. Inspired by the success of Google, knowledge graphs are gaining momentum in the World Wide Web arena. Recent years have witnessed increasing industrial take-ups by other Internet giants, including Facebook's Open Graph and Microsoft's Satori.

The aim of the lecture note is to provide a logical foundation for constructing and querying knowledge graphs. Our journey starts from the introduction of Knowledge Graph as well as its history, and the construction of knowledge graphs by considering both explicit and implicit author intentions. The book will then cover various topics, including how to revise and reuse ontologies (schema of knowledge graphs) in a safe way, how to combine navigational queries with basic pattern matching queries for knowledge graph, how to setup a environment to do experiments on knowledge graphs, how to deal with inconsistencies and fuzziness in ontologies and knowledge graphs, and how to combine machine learning and machine reasoning for knowledge graphs.



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