soft computing intelligent data (47 Ergebnisse)

Zustand: Good. Volume 456. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9783319429717.

Zustand: Good. Volume 51. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1550grams, ISBN:9780444506856.

Hardcover. Zustand: Wie neu. 1st ed. 754 S. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 1600.

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Paperback. Zustand: Brand New. 2015 edition. 628 pages. 9.25x6.25x1.50 inches. In Stock.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing, Intelligent Systems, and Information Technology, ICSIIT 2015, held in Bali, Indonesia, in March 2015. The 34 revised full papers presented together with 19 short papers, one keynote and 2 invited talks were carefully reviewed and selected from 92 submissions. The papers cover a wide range of topics related to intelligence in the era of Big Data, such as fuzzy logic and control system; genetic algorithm and heuristic approaches; artificial intelligence and machine learning; similarity-based models; classification and clustering techniques; intelligent data processing; feature extraction; image recognition; visualization techniques; intelligent network; cloud and parallel computing; strategic planning; intelligent applications; and intelligent systems for enterprise, government and society.

Taschenbuch. Zustand: Neu. Intelligence in the Era of Big Data | 4th International Conference on Soft Computing, Intelligent Systems, and Information Technology, ICSIIT 2015, Bali, Indonesia, March 11-14, 2015. Proceedings | Rolly Intan (u. a.) | Taschenbuch | Communications in Computer and Information Science | xxiv | Englisch | 2015 | Springer | EAN 9783662467411 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Buch. Zustand: Neu. Neuware - Next-Generation Computing: Advances in Cloud, Soft Computing, and Intelligent Systems provides a comprehensive overview of modern computing paradigms that are transforming technology and society. The book explores the evolution from traditional computing models to scalable, distributed, and intelligent systems, offering both theoretical foundations and practical insights.It presents in-depth coverage of cloud computing technologies, including virtualization, service-oriented architectures, containerization, and edge-fog computing, along with key aspects of security, privacy, and resource management. Soft computing techniques such as fuzzy logic, neural networks, genetic algorithms, and swarm intelligence are explained to demonstrate their effectiveness in handling uncertainty, complexity, and optimization problems.The book also delves into intelligent systems, highlighting advances in machine learning, deep learning, natural language processing, and computer vision. Real-world applications and case studies across healthcare, smart cities, finance, education, and cybersecurity illustrate the practical impact of these technologies. Overall, this book equips readers with essential knowledge and skills to design innovative, efficient, and intelligent solutions for the digital era.

Paperback. Zustand: Brand New. 294 pages. 9.00x6.00x0.50 inches. In Stock.

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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 364 | Sprache: Englisch | Produktart: Bücher | Being the de-facto standard for data representation and exchange over the Web, XML (Extensible Markup Language) allows the easy development of applications that exchange data over the Web. This creates a set of data management requirements involving XML. XML and related standards have been extensively applied in many business, service, and multimedia applications. As a result, a large volume of data is managed today directly in XML format. With the wide and in-depth utilization of XML in diverse application domains, some particularities of data management in concrete applications emerge, which challenge current XML technology. This is very similar with the situation that some database models and special database systems have been developed so that databases can satisfy the need of managing diverse data well. In data- and knowledge- intensive application systems, one of the challenges can be generalized as the need to handle imprecise and uncertain information in XML data management by applying fuzzy logic, probability, and more generally soft computing. Currently, two kinds of situations are roughly identified in soft computing for XML data management: applying soft computing for the intelligent processing of classical XML data; applying soft computing for the representation and processing of imprecise and uncertain XML data. For the former, soft computing can be used for flexible query of XML document as well as XML data mining, XML duplicate detection, and so on.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 364 | Sprache: Englisch | Produktart: Bücher | Being the de-facto standard for data representation and exchange over the Web, XML (Extensible Markup Language) allows the easy development of applications that exchange data over the Web. This creates a set of data management requirements involving XML. XML and related standards have been extensively applied in many business, service, and multimedia applications. As a result, a large volume of data is managed today directly in XML format. With the wide and in-depth utilization of XML in diverse application domains, some particularities of data management in concrete applications emerge, which challenge current XML technology. This is very similar with the situation that some database models and special database systems have been developed so that databases can satisfy the need of managing diverse data well. In data- and knowledge- intensive application systems, one of the challenges can be generalized as the need to handle imprecise and uncertain information in XML data management by applying fuzzy logic, probability, and more generally soft computing. Currently, two kinds of situations are roughly identified in soft computing for XML data management: applying soft computing for the intelligent processing of classical XML data; applying soft computing for the representation and processing of imprecise and uncertain XML data. For the former, soft computing can be used for flexible query of XML document as well as XML data mining, XML duplicate detection, and so on.

Hardcover. Zustand: Brand New. 305 pages. 9.00x6.25x0.75 inches. In Stock.

Taschenbuch. Zustand: Neu. Soft Computing in XML Data Management | Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision | Zongmin Ma (u. a.) | Taschenbuch | Studies in Fuzziness and Soft Computing | 325 S. | Englisch | 2012 | Springer | EAN 9783642264016 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: New.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Being the de-facto standard for data representation and exchange over the Web, XML (Extensible Markup Language) allows the easy development of applications that exchange data over the Web. This creates a set of data management requirements involving XML. XML and related standards have been extensively applied in many business, service, and multimedia applications. As a result, a large volume of data is managed today directly in XML format. With the wide and in-depth utilization of XML in diverse application domains, some particularities of data management in concrete applications emerge, which challenge current XML technology. This is very similar with the situation that some database models and special database systems have been developed so that databases can satisfy the need of managing diverse data well. In data- and knowledge- intensive application systems, one of the challenges can be generalized as the need to handle imprecise and uncertain information in XML data management by applying fuzzy logic, probability, and more generally soft computing. Currently, two kinds of situations are roughly identified in soft computing for XML data management: applying soft computing for the intelligent processing of classical XML data; applying soft computing for the representation and processing of imprecise and uncertain XML data. For the former, soft computing can be used for flexible query of XML document as well as XML data mining, XML duplicate detection, and so on.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Being the de-facto standard for data representation and exchange over the Web, XML (Extensible Markup Language) allows the easy development of applications that exchange data over the Web. This creates a set of data management requirements involving XML. XML and related standards have been extensively applied in many business, service, and multimedia applications. As a result, a large volume of data is managed today directly in XML format. With the wide and in-depth utilization of XML in diverse application domains, some particularities of data management in concrete applications emerge, which challenge current XML technology. This is very similar with the situation that some database models and special database systems have been developed so that databases can satisfy the need of managing diverse data well. In data- and knowledge- intensive application systems, one of the challenges can be generalized as the need to handle imprecise and uncertain information in XML data management by applying fuzzy logic, probability, and more generally soft computing. Currently, two kinds of situations are roughly identified in soft computing for XML data management: applying soft computing for the intelligent processing of classical XML data; applying soft computing for the representation and processing of imprecise and uncertain XML data. For the former, soft computing can be used for flexible query of XML document as well as XML data mining, XML duplicate detection, and so on.

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