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Verlag: Springer-Verlag New York Inc, 2015
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In den WarenkorbPaperback. Zustand: Brand New. special edition. 175 pages. 9.00x6.00x0.50 inches. In Stock.
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In den WarenkorbPaperback. Zustand: Brand New. 426 pages. 9.00x6.00x1.00 inches. In Stock.
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Verlag: Springer Berlin Heidelberg, 2010
ISBN 10: 364217406X ISBN 13: 9783642174063
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Zustand: New. State-of-the-art researchFast-track conference proceedingsUnique visibilityFull Papers.- Supporting Adaptive Learning with a Student Model Repository and Shared Adaptive Variables.- Enhancing Personal Learning Environments by Contex.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.This, the 20th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, presents a representative and useful selection of articles covering a wide range of important topics in the domain of advanced techniques for big data management. Big data has become a popular term, used to describe the exponential growth and availability of data. The recent radical expansion and integration of computation, networking, digital devices, and data storage has provided a robust platform for the explosion in big data, as well as being the means by which big data are generated, processed, shared, and analyzed. In general, data are only useful if meaning and value can be extracted from them. Big data discovery enables data scientists and other analysts to uncover patterns and correlations through analysis of large volumes of data of diverse types. Insights gleaned from big data discovery can provide businesses with significant competitive advantages, leading to more successful marketing campaigns, decreased customer churn, and reduced loss from fraud. In practice, the growing demand for large-scale data processing and data analysis applications has spurred the development of novel solutions from both industry and academia.
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Taschenbuch. Zustand: Neu. Transactions on Large-Scale Data- and Knowledge-Centered Systems XX | Special Issue on Advanced Techniques for Big Data Management | Abdelkader Hameurlain (u. a.) | Taschenbuch | xi | Englisch | 2015 | Springer | EAN 9783662467022 | 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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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 412 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Sprache: Englisch
Verlag: Springer, Berlin, Springer, 2010
ISBN 10: 364217406X ISBN 13: 9783642174063
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Taschenbuch. Zustand: Neu. Neuware - ICWL is an annual international conference series on Web-based learning that has so far been held in Asia, Europe and Australia. This series represents the cooperationofEuropeanandAsianresearcherstoadvancethe eldofWeb-based learning. The 9th ICWL 2010 was held in Shanghai, China. ICWL 2010 was jointlyorganizedbytheHongKongWebSociety,ShanghaiUniversity.Shanghai, knownthroughouttheworldasthe ParisoftheOrient, isathrivingmetropolis delightfully mixing the West and East, old and new, ancient and modern. It was particularly special to hold ICWL 2010 in Shanghai, as Expo 2010 was held in the same city just before the conference period. This year, we received about 192 submissions. There were a total of 36 full papers and 8 short papers, representing an acceptance rate of about 23%; these papers are included in this LNCS proceedings volume. The authors of these s- missions came from 35 countries and regions, while the authors of the accepted paperscamefrom18countriesandregions.Wewouldliketo thank thereviewers for spending their precious time reviewing the papers and for providing valuable comments that aided signi cantly in the paper selection process. We would like to especially thank our Organization Chair, Feiyue Ye, for spending an enormous amount of time and e ort in coordinating the local - rangements. In fact, we would like to thank the entire conference Organizing Committee for their hard work in putting together the conference. In parti- lar, we would like to express our appreciation to our Registration Chair, Jiying (Jean) Wang, and Haoran Xie for their tremendous e orts in communicating with the authors.
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 20th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, presents a representative and useful selection of articles covering a wide range of important topics in the domain of advanced techniques for big data management. Big data has become a popular term, used to describe the exponential growth and availability of data. The recent radical expansion and integration of computation, networking, digital devices, and data storage has provided a robust platform for the explosion in big data, as well as being the means by which big data are generated, processed, shared, and analyzed. In general, data are only useful if meaning and value can be extracted from them. Big data discovery enables data scientists and other analysts to uncover patterns and correlations through analysis of large volumes of data of diverse types. Insights gleaned from big data discovery can provide businesses with significant competitive advantages, leading to more successful marketing campaigns, decreased customer churn, and reduced loss from fraud. In practice, the growing demand for large-scale data processing and data analysis applications has spurred the development of novel solutions from both industry and academia.
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In den WarenkorbPaperback. Zustand: Brand New. 192 pages. 9.21x6.14x0.55 inches. In Stock.
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Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2021
ISBN 10: 1785618733 ISBN 13: 9781785618734
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Verlag: The Institution of Engineering and Technology, 2019
ISBN 10: 1785617478 ISBN 13: 9781785617478
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In den WarenkorbPaperback. Zustand: Brand New. 528 pages. 9.21x6.14x1.34 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 280 pages. 9.50x6.25x1.00 inches. In Stock.
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Verlag: Inst of Engineering & Technology, 2021
ISBN 10: 1785618733 ISBN 13: 9781785618734
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In den WarenkorbHardcover. Zustand: Brand New. reprint edition. 323 pages. 9.25x6.25x0.25 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 280 pages. 9.50x6.25x1.00 inches. In Stock.
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ISBN 10: 1785617478 ISBN 13: 9781785617478
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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book presents the theories and methods for geology intelligent interpretation based on deep learning and remote sensing technologies. The main research subjects of this book include lithology and mineral abundance. This book focuses on the following five aspects: 1. Construction of geology remote sensing datasets from multi-level (pixel-level, scene-level, semantic segmentation-level, prior knowledge-assisted, transfer learning dataset), which are the basis of geology interpretation based on deep learning. 2. Research on lithology scene classification based on deep learning, prior knowledge, and remote sensing. 3. Research on lithology semantic segmentation based on deep learning and remote sensing. 4. Research on lithology classification based on transfer learning and remote sensing. 5. Research on inversion of mineral abundance based on the sparse unmixing theory and hyperspectral remote sensing. The book is intended for undergraduate and graduate students who are interested in geology, remote sensing, and artificial intelligence. It is also used as a reference book for scientific and technological personnel of geological exploration.
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