Readings in Artificial Intelligence and Databases

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Release : 2014-06-28
Genre : Computers
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Book Rating : 620/5 ( reviews)

Readings in Artificial Intelligence and Databases - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Readings in Artificial Intelligence and Databases write by John Mylopoulos. This book was released on 2014-06-28. Readings in Artificial Intelligence and Databases available in PDF, EPUB and Kindle. 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.

Readings in Distributed Artificial Intelligence

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Release : 2014-06-05
Genre : Computers
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Book Rating : 443/5 ( reviews)

Readings in Distributed Artificial Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Readings in Distributed Artificial Intelligence write by Alan H. Bond. This book was released on 2014-06-05. Readings in Distributed Artificial Intelligence available in PDF, EPUB and Kindle. Most artificial intelligence research investigates intelligent behavior for a single agent--solving problems heuristically, understanding natural language, and so on. Distributed Artificial Intelligence (DAI) is concerned with coordinated intelligent behavior: intelligent agents coordinating their knowledge, skills, and plans to act or solve problems, working toward a single goal, or toward separate, individual goals that interact. DAI provides intellectual insights about organization, interaction, and problem solving among intelligent agents. This comprehensive collection of articles shows the breadth and depth of DAI research. The selected information is relevant to emerging DAI technologies as well as to practical problems in artificial intelligence, distributed computing systems, and human-computer interaction. "Readings in Distributed Artificial Intelligence" proposes a framework for understanding the problems and possibilities of DAI. It divides the study into three realms: the natural systems approach (emulating strategies and representations people use to coordinate their activities), the engineering/science perspective (building automated, coordinated problem solvers for specific applications), and a third, hybrid approach that is useful in analyzing and developing mixed collections of machines and human agents working together. The editors introduce the volume with an important survey of the motivations, research, and results of work in DAI. This historical and conceptual overview combines with chapter introductions to guide the reader through this fascinating field. A unique and extensive bibliography is also provided.

Intelligent Database Systems

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Release : 2001
Genre : Computers
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Intelligent Database Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Database Systems write by Elisa Bertino. This book was released on 2001. Intelligent Database Systems available in PDF, EPUB and Kindle. This tutorial guide to intelligent database systems uses advanced techniques to represent or manipulate knowledge and data. It illustrates ways in which techniques developed in expert (or knowledge-based) systems may be integrated with conventional relational or object-oriented database systems.

Advances in Databases and Artificial Intelligence

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Release : 1995
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Advances in Databases and Artificial Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Databases and Artificial Intelligence write by . This book was released on 1995. Advances in Databases and Artificial Intelligence available in PDF, EPUB and Kindle.

Data Science in Practice

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Release : 2018-09-19
Genre : Technology & Engineering
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Book Rating : 560/5 ( reviews)

Data Science in Practice - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science in Practice write by Alan Said. This book was released on 2018-09-19. Data Science in Practice available in PDF, EPUB and Kindle. This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios. Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage.