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Building Intelligent Information Systems Software, Thomas D. Feigenbaum


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Автор: Thomas D. Feigenbaum
Название:  Building Intelligent Information Systems Software
ISBN: 9780128051016
Издательство: Elsevier Science
Классификация:
ISBN-10: 0128051019
Обложка/Формат: Paperback
Страницы: 450
Вес: 0.66 кг.
Дата издания: 17.12.2015
Язык: English
Размер: 194 x 234 x 21
Читательская аудитория: Professional & vocational
Подзаголовок: Introducing the unit modeler development technology
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Building Intelligent Information Systems Software shows scientists and engineers how to build applications that model complex information, data, and knowledge without the need for coding. Traditional software development takes time and leads to inflexible, complicated applications that almost, but don t exactly, meet the intended needs. Requirements can change, sometimes mid-development, and adapting existing systems can be difficult. Individual solutions can be incompatible, leading to information silos and inefficiency throughout an organization. This book offers a solution the Information Unit Model, an innovative architecture for translating domain knowledge into applications. By encapsulating the complexities of computing, the Unit Model allows engineers to focus on business or experimental needs. Author Tom Feigenbaum, inventor of the Unit Modeler, demonstrates this innovative software architecture for rapid application design and development. His approach promotes repurposing pre-existing tools and libraries, and collaborating across the cloud, to promote information sharing and efficient development practices. Each concept is illustrated with examples including file management, data management, and 3D visualization.
Turn your domain knowledge into applications without heavy coding Design and develop information systems applications in a fraction of the time of traditional methodsLeverage previously-built components to jump start new projectsIncludes access to a trial version of the Information Unit Modeler tool for rapid application development



Intelligent Tools for Building a Scientific Information Platform

Автор: Robert Bembenik; Lukasz Skonieczny; Henryk Rybi?sk
Название: Intelligent Tools for Building a Scientific Information Platform
ISBN: 3642442285 ISBN-13(EAN): 9783642442285
Издательство: Springer
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Цена: 18284.00 р.
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Описание: In an economic environment full of turmoil, the more versatile our explanatory models the better. This volume widens our perspective on these matters with innovative research on the application of pretopology and topology to economics and management studies.

Intelligent Information and Database Systems

Автор: Manh Thanh Le; Jerzy Swiatek; Ngoc Thanh Nguyen
Название: Intelligent Information and Database Systems
ISBN: 3642121004 ISBN-13(EAN): 9783642121005
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Constitutes the refereed proceedings of the Second International Conference on Intelligent Information and Database Systems, ACIIDS 2010, held in Hue City, Vietnam, in March 2010.

Information Technology and Intelligent Transportation Systems

Автор: Balas
Название: Information Technology and Intelligent Transportation Systems
ISBN: 3319387693 ISBN-13(EAN): 9783319387697
Издательство: Springer
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Цена: 32142.00 р.
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Описание: This volume includes the proceedings of the 2015 International Conference on Information Technology and Intelligent Transportation Systems (ITITS 2015) which was held in Xi’an on December 12-13, 2015. The conference provided a platform for all professionals and researchers from industry and academia to present and discuss recent advances in the field of Information Technology and Intelligent Transportation Systems. The presented information technologies are connected to intelligent transportation systems including wireless communication, computational technologies, floating car data/floating cellular data, sensing technologies, and video vehicle detection. The articles focusing on intelligent transport systems vary in the technologies applied, from basic management systems to more application systems including topics such as emergency vehicle notification systems, automatic road enforcement, collision avoidance systems and some cooperative systems. The conference hosted 12 invited speakers and over 200 participants. Each paper was under double peer reviewed by at least 3 reviewers. This proceedings are sponsored by Shaanxi Computer Society and co-sponsored by Chang’an University, Xi’an University of Technology, Northwestern Poly-technical University, CAS, Shaanxi Sirui Industries Co., LTD.

Advances in Information and Intelligent Systems

Автор: Zbigniew W. Ras; William Ribarsky
Название: Advances in Information and Intelligent Systems
ISBN: 364204140X ISBN-13(EAN): 9783642041402
Издательство: Springer
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Цена: 27251.00 р.
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Описание: Recent advances in complex systems, knowledge management, knowledge discovery, and visualization are presented in this review of intelligent systems. The methods and tools described are efficiently applicable to various types of data analysis issues.

Mobile Web and Intelligent Information Systems

Автор: Younas
Название: Mobile Web and Intelligent Information Systems
ISBN: 3319442147 ISBN-13(EAN): 9783319442143
Издательство: Springer
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Цена: 9224.00 р.
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Описание: This book constitutes the refereed proceedings of the 13th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2016, held in Vienna, Austria, in August 2016. They were organization in topical sections named: mobile Web - practice and experience; advanced Web and mobile systems; mobile Web and applications;

Advances in Information and Intelligent Systems

Автор: Zbigniew W. Ras; William Ribarsky
Название: Advances in Information and Intelligent Systems
ISBN: 364226087X ISBN-13(EAN): 9783642260872
Издательство: Springer
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Цена: 27251.00 р.
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Описание: Recent advances in complex systems, knowledge management, knowledge discovery, and visualization are presented in this review of intelligent systems. The methods and tools described are efficiently applicable to various types of data analysis issues.


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