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检索条件"丛书名=Data-Centric Systems and Applications"

共 33 条记录，以下是21-30 订阅

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Security, Privacy, and Trust in Modern data Management 1

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丛书名： data-centric systems and applications

1000年

作者： Milan Petković Willem Jonker

ISBN: (数字)9783540698616

ISBN: (纸本)9783540698609;9783642089268

Advances in information and communication technologies continue to p- vide new means of conducting remote transactions. Services facilitated by these technologies are spreading increasingly into our commercial and private spheres. For many people, these services have changed the way they work, communicate, shop, arrange travel, etc. Remote transactions, however, may also open possibilities for fraud and other types of misuse. Hence, the requi- ment to authorize transactions may arise. Authorization may in turn call for some kind of user authentication. When users have to provide personal inf- mation to access services, they literally leave a part of their life on record. As the number of sites where such records are left increases, so does the d- ger of misuse. So-called identity theft has become a pervasive problem, and a general feeling of unease and lack of trust may dissuade people from using the services on o?er. This,inanutshell,isoneofthemajorchallengesinsecurityengineering- day. How to provide servicesto individuals securelywithout making undue - cursions into their privacy at the same time. Decisions on the limits of privacy intrusions – or privacy protection, for that matter – are ultimately political decisions. Research can de?ne the design space in which service providers and regulators may try to ?nd acceptable tradeo?s between security and privacy.

关键词： systems and data Security data Structures and Information Theory database Management Information systems applications (incl. Internet)

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Web data Mining 1

引用

丛书名： data-centric systems and applications

1000年

作者： Bing Liu

ISBN: (数字)9783540378822

The rapid growth of the Web in the last decade makes it the largest p- licly accessible data source in the world. Web mining aims to discover u- ful information or knowledge from Web hyperlinks, page contents, and - age logs. Based on the primary kinds of data used in the mining process, Web mining tasks can be categorized into three main types: Web structure mining, Web content mining and Web usage mining. Web structure m- ing discovers knowledge from hyperlinks, which represent the structure of the Web. Web content mining extracts useful information/knowledge from Web page contents. Web usage mining mines user access patterns from usage logs, which record clicks made by every user. The goal of this book is to present these tasks, and their core mining - gorithms. The book is intended to be a text with a comprehensive cov- age, and yet, for each topic, sufficient details are given so that readers can gain a reasonably complete knowledge of its algorithms or techniques without referring to any external materials. Four of the chapters, structured data extraction, information integration, opinion mining, and Web usage mining, make this book unique. These topics are not covered by existing books, but yet they are essential to Web data mining. Traditional Web mining topics such as search, crawling and resource discovery, and link analysis are also covered in detail in this book.

关键词： data Structures and Information Theory Information Storage and Retrieval Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences data Mining and Knowledge Discovery Pattern Recognition Artificial Intelligence

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Graph data Management 1

引用

丛书名： data-centric systems and applications

1000年

作者： George Fletcher Jan Hidders Josep Lluís Larriba-Pey

ISBN: (数字)9783319961934

ISBN: (纸本)9783319961927;9783030071516

This book presents a comprehensive overview of fundamental issues and recent advances in graph data management. Its aim is to provide beginning researchers in the area of graph data management, or in fields that require graph data management, an overview of the latest developments in this area, both in applied and in fundamental subdomains.;The topics covered range from a general introduction to graph data management, to more specialized topics like graph visualization, flexible queries of graph data, parallel processing, and benchmarking. The book will help researchers put their work in perspective and show them which types of tools, techniques and technologies are available, which ones could best suit their needs, and where there are still open issues and future research directions.;The chapters are contributed by leading experts in the relevant areas, presenting a coherent overview of the state of the art in the field. Readers should have a basic knowledge of data management techniques as they are taught in computer science MSc programs.

关键词： database Management Math applications in Computer Science System Performance and Evaluation Models and Principles

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The Semantic Web 1

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丛书名： data-centric systems and applications

1000年

作者： Vipul Kashyap Christoph Bussler Matthew Moran

ISBN: (数字)9783540764526

ISBN: (纸本)9783540764519;9783642095306

A decade ago Tim Berners-Lee proposed an extraordinary vision: despite the p- nomenal success of the Web, it would not, and could not, reach its full potential unless it became a place where automated processes could participate as well as people. This meant the publication of documents and data to the web in such a way that they could be interpreted, integrated, aggregated and queried to reveal new connections and answer questions, rather than just browsed and searched. Many scoffed at this idea, interpreting the early emphasis on language design and reas- ing as AI in new clothes. This missed the point. The Grand Challenge of the Semantic Web is one that needs not only the information structure of ontologies, metadata, and data, but also the computational infrastructure of Web Services, P2P and Grid distributed computing and workflows. Consequently, it is a truly who- system and multi-disciplinary effort. This is also an initiative that has to be put into practice. That means a pragmatic approach to standards, tools, mechanisms and methodologies, and real, challenging examples. It would seem self-evident that the Semantic Web should be able to make a major contribution to clinical information discovery. Scientific commu- ties are ideal incubators: knowledge-driven, fragmented, diverse, a range of str- tured and unstructured resources with many disconnected suppliers and consumers of knowledge. Moreover, the clinicians and biosciences have embraced the notions of annotation and classification using ontologies for centuries, and have dema- ing requirements for trust, security, fidelity and expressivity.

关键词： Computer Science, general Popular Computer Science Information systems applications (incl. Internet) Artificial Intelligence Computational Biology/Bioinformatics Information Storage and Retrieval

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Mobility data Science 1

Mobility Data Science

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丛书名： data-centric systems and applications

1000年

作者： Mahmoud Sakr Esteban Zimányi Alejandro Vaisman

ISBN: (数字)9783031826368

ISBN: (纸本)9783031826351;9783031826382

This textbook covers the key topics in mobility data analysis, including all steps of the data science pipeline illustrated with real-world examples. The book is composed of three parts. Part I “Fundamental Concepts” provides the background for this book by introducing spatial and temporal databases and motivating the need for mobility databases. Further chapters in this part are devoted to a formal model for representing mobility data, an introduction to mobility data visualization, and the topic of querying mobility databases. Part II “Advanced Topics” covers topics such as query processing and indexing, illustrated with PostgreSQL, introduces mobility data warehouses using synthetic data, and concludes with distributed mobility databases. Part III “Mobility Analytics” covers important topics like mobility data cleaning, including the identification of erroneous data, and mobility analysis using foundational algorithms for spatial and mobility data. It also includes an urban mobility use case that illustrates the concepts presented throughout the book in a real application setting. This textbook is written for undergraduate and graduate computer science courses on mobility data science. As such, it follows a pedagogical style to make the work of the instructor easier and to help students to understand the concepts being delivered, complementing the presentation with exercises and a companion GitHub repository. SQL is used as a high-level language for analytics, allowing students to write complex data science code, while abstracting away implementation details. Researchers and practitioners who are interested in an introduction to the area of mobility data science will also find the book a useful reference.

关键词： data Structures and Information Theory Artificial Intelligence Information systems and Communication Service Computer applications Geography, general

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data and Information Quality 1

引用

丛书名： data-centric systems and applications

1000年

作者： Carlo Batini Monica Scannapieco

ISBN: (数字)9783319241067

ISBN: (纸本)9783319241043;9783319795812

The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from thecombination of concrete practical approaches with sound theoretical formalisms.

关键词： database Management data Structures and Information Theory Information systems applications (incl. Internet) Health Informatics Knowledge Management

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data Matching 1

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丛书名： data-centric systems and applications

1000年

作者： Peter Christen

ISBN: (数字)9783642311642

ISBN: (纸本)9783642311635;9783642430015

By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially,they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.

关键词： database Management data Mining and Knowledge Discovery Information Storage and Retrieval Artificial Intelligence Pattern Recognition

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Mashups 1

引用

丛书名： data-centric systems and applications

1000年

作者： Florian Daniel Maristella Matera

ISBN: (数字)9783642550492

ISBN: (纸本)9783642550485;9783662509593

Overall, the book is of interest to a wide range of readers. Students, lecturers, and researchers will find a comprehensive overview of core concepts and technological foundations for mashup implementation and composition. Even without low-level coding details, practitioners like software architects will find guidance on key implementation concepts, architectural patterns and development tools and approaches. A related website provides additional teaching material which can be used either as part of a course or for self study.

关键词： Information systems applications (incl. Internet) Software Engineering

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data Stream Management 1

引用

丛书名： data-centric systems and applications

1000年

作者： Minos Garofalakis Johannes Gehrke Rajeev Rastogi

The book provides a comprehensive overview of core concepts and technological foundations, as well as various systems and applications, and is of particular interest to students, lecturers and researchers in the area ... 详细信息

ISBN: (数字)9783540286080

ISBN: (纸本)9783540286073;9783662568378

关键词： database Management data Mining and Knowledge Discovery Big data/Analytics data Structures Information Storage and Retrieval

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SQL for data Science 1

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丛书名： data-centric systems and applications

1000年

作者： Antonio Badia

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