Semantic Integrity Constraints in Federated Database Schemata
Author: Can Türker
Publisher: IOS Press
Published: 1999
Total Pages: 284
ISBN-13: 9783896014634
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Federated Learning Systems
Author: Muhammad Habib ur Rehman
Publisher: Springer Nature
Published: 2021-06-11
Total Pages: 207
ISBN-13: 3030706044
DOWNLOAD EBOOKThis book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. The centralized training of deep learning and machine learning models not only incurs a high communication cost of data transfer into the cloud systems but also raises the privacy protection concerns of data providers. This book aims at targeting researchers and practitioners to delve deep into core issues in federated learning research to transform next-generation artificial intelligence applications. Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the updated model attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development. Federated learning benefits in terms of privacy, communication efficiency, data security, and contributors’ control of their critical data.
Management of Heterogeneous and Autonomous Database Systems
Author: Ahmed K. Elmagarmid
Publisher: Morgan Kaufmann
Published: 1999
Total Pages: 440
ISBN-13: 9781558602168
DOWNLOAD EBOOKAn Overview of Multidatabase Systems: Past and Present / Athman Bouguettaya, Boualem Benatallah, Ahmed Elmagarmid / - Local Autonomy and Its Effects on Multidatabase Systems / Ahmed Elmagarmid, Weimin Du, Rafi Ahmed / - Semantic Similarities Between Objects in Multiple Databases / Vipul Kashyap, Amit Sheth / - Resolution of Representational Diversity in Multidatabase Systems / Joachim Hammer, Dennis McLeod / - Schema Integration: Past, Present, and Future / Sudha Ram, V. Ramesh / - Schema and Language Translation / Bogdan Czejdo, Le Gruenwald / - Multidatabase Languages / Paolo Missier, Marek Rusinkiewicz, W. Jin / - Interdependent Database Systems / George Karabatis, Marek Rusinkiewicz, Amit Sheth / - Correctness Criteria and Concurrency Control / Panos K. Chrysanthis, Krithi Ramamritham / - Transaction Management in Multidatabase Systems: Current Technologies and Formalisms / Ken Barker, Ahmed Elmagarmid / - Transaction-Based Recovery / Jari Veijalainen. ...
Version Management in Federated Database Systems
Author: Martin Schönhoff
Publisher: IOS Press
Published: 2002
Total Pages: 254
ISBN-13:
DOWNLOAD EBOOKThis work provides the conceptual foundations for the extension of federated database technology with the management of versioned data. It determines the requirements of a versioned federation compared to an unversioned one, and then develops features to fulfil these requirements.
Data Management Systems
Author: Bhavani Thuraisingham
Publisher: CRC Press
Published: 1997-05-19
Total Pages: 276
ISBN-13: 9780849394935
DOWNLOAD EBOOKAs the information contained in databases has become a critical resource in organizations, efficient access to that information and the ability to share it among different users and across different systems has become an urgent need. The interoperability of heterogeneous database systems-literally, the ability to access information between or among differing types of databases, is the topic of this timely book. In the last two decades, tremendous improvements in tools and technologies have resulted in new products that provide distributed data processing capabilities. This book describes these tools and emerging technologies, explaining the essential concepts behind the topics but focusing on practical applications. Selected products are discussed to illustrate the characteristics of the different technologies. This is an ideal source for anyone who needs a broad perspective on heterogeneous database integration and related technologies.
Knowledge Graphs and Big Data Processing
Author: Valentina Janev
Publisher: Springer Nature
Published: 2020-07-15
Total Pages: 212
ISBN-13: 3030531996
DOWNLOAD EBOOKThis 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.
Engineering Federated Information Systems
Author: S. Conrad
Publisher: IOS Press
Published: 1999-05
Total Pages: 202
ISBN-13: 9783896010131
DOWNLOAD EBOOKHandbook on Data Management in Information Systems
Author: Jacek Blazewicz
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 586
ISBN-13: 3540247424
DOWNLOAD EBOOKThe Handbook provides practitioners, scientists and graduate students with a good overview of basic notions, methods and techniques, as well as important issues and trends across the broad spectrum of data management. In particular, the book covers fundamental topics in the field such as distributed databases, parallel databases, advanced databases, object-oriented databases, advanced transaction management, workflow management, data warehousing, data mining, mobile computing, data integration and the Web. Summing up, the Handbook is a valuable source of information for academics and practitioners who are interested in learning the key ideas in the considered area.
Distributed Database Systems
Author: Chhanda Ray
Publisher: Pearson Education India
Published: 2009
Total Pages: 328
ISBN-13: 9788131727188
DOWNLOAD EBOOKDistributed Database Systems discusses the recent and emerging technologies in the field of distributed database technology. The material is up-to-date, highly readable, and illustrated with numerous practical examples. The mainstream areas of distributed database technology, such as distributed database design, distributed DBMS architectures, distributed transaction management, distributed concurrency control, deadlock handling in distributed systems, distributed recovery management, distributed query processing and optimization, data security and catalog management, have been covered in detail. The popular distributed database systems, SDD-1 and R*, have also been included.
Advances in Object-Oriented Database Systems
Author: Asuman Dogac
Publisher: Springer Science & Business Media
Published: 2013-11-09
Total Pages: 523
ISBN-13: 3642579396
DOWNLOAD EBOOKObject-oriented database management systems (OODBMSs) have generated significant excitement in the database community in the last decade. This interest stems from a real need for data management support for what are called "advanced application areas" that are not well-served by relational technology. The case for object-oriented technology has been made on three fronts. First is the data modeling requirements of the new applications. Some of the more important shortcomings of the relational systems in meeting the requirements of these applications include: 1. Relational systems deal with a single object type: a relation. A relation is used to model different real-world objects, but the semantics of this association is not part of the database. Furthermore, the attributes of a relation may come only from simple and fixed data type domains (numeric, character, and, sometimes, date types). Advanced applications require explicit storage and manipulation of more abstract types (e.g., images, design documents) and the ability for the users to define their own application-specific types. Therefore, a rich type system supporting user defined abstract types is required. 2. The relational model structures data in a relatively simple and flat manner. Non traditional applications require more complex object structures with nested objects (e.g., a vehicle object containing an engine object).
