nontraditional database systems advanced information processing technology 5

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Nontraditional Database Systems

Author : Yahiko Kambayashi
ISBN : 9780203301944
Genre : Computers
File Size : 67. 1 MB
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Nontraditional Database Systems is the fifth volume in the Advanced Information Processing Technology series. It brings together the results of research carried out by the Japanese database research community in the field of nontraditional database systems. The book examines nontraditional types of applications, data types, systems and environments together with high-performance architecture to support nontraditional applications, such as web mining, data engineering and object processing.

Readings In Artificial Intelligence And Databases

Author : John Mylopoulos
ISBN : 0934613532
Genre : Computers
File Size : 58. 3 MB
Format : PDF
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The interaction of database and AI technologies is crucial to such applications as data mining, active databases, and knowledge-based expert systems. This volume collects the primary readings on the interactions, actual and potential, between these two fields. The editors have chosen articles to balance significant early research and the best and most comprehensive articles from the 1980s. An in-depth introduction discusses basic research motivations, giving a survey of the history, concepts, and terminology of the interaction. Major themes, approaches and results, open issues and future directions are all discussed, including the results of a major survey conducted by the editors of current work in industry and research labs. Thirteen sections follow, each with a short introduction. Topics examined include semantic data models with emphasis on conceptual modeling techniques for databases and information systems and the integration of data model concepts in high-level data languages, definition and maintenance of integrity constraints in databases and knowledge bases, natural language front ends, object-oriented database management systems, implementation issues such as concurrency control and error recovery, and representation of time and knowledge incompleteness from the viewpoints of databases, logic programming, and AI.

Directory Of Published Proceedings

Author :
ISBN : UOM:39015057256003
Genre : Science
File Size : 59. 65 MB
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Gmd Research Series

Author :
ISBN : CHI:53303985
Genre : Computer science
File Size : 75. 82 MB
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Large Scale And Big Data

Author : Sherif Sakr
ISBN : 9781466581500
Genre : Computers
File Size : 75. 93 MB
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Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments. The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different programming models and cloud-based deployment models. The book’s second section examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing. The third section discusses advanced topics of Big Data processing such as consistency management, privacy, and security. Supplying a comprehensive summary from both the research and applied perspectives, the book covers recent research discoveries and applications, making it an ideal reference for a wide range of audiences, including researchers and academics working on databases, data mining, and web scale data processing. After reading this book, you will gain a fundamental understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.

International Aerospace Abstracts

Author :
ISBN : UOM:39015040314299
Genre : Aeronautics
File Size : 68. 83 MB
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Encyclopedia Of Software Engineering

Author : John J. Marciniak
ISBN : UOM:49015003025583
Genre : Software engineering
File Size : 66. 15 MB
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