Transactions on Large-Scale Data- and Knowledge-Centered Systems

Transactions on Large-Scale Data- and Knowledge-Centered Systems XX

Special Issue on Advanced Techniques for Big Data Management

Editors: Hameurlain, A., Küng, J., Wagner, R., Sakr, S., Wang, L., Zomaya, A.Y. (Eds.)

  • Contains six detailed papers on the hot topic of big data generation and management
  • Covers topics ranging from video streams to Linked Data management
  • Features "random prism" as a new classifier for machine/ensemble learning
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eBook 44,02 €
price for Spain (gross)
  • ISBN 978-3-662-46703-9
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  • Immediate eBook download after purchase
Softcover 56,16 €
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  • ISBN 978-3-662-46702-2
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  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

Buy this book

eBook 44,02 €
price for Spain (gross)
  • ISBN 978-3-662-46703-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 56,16 €
price for Spain (gross)
  • ISBN 978-3-662-46702-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Transactions on Large-Scale Data- and Knowledge-Centered Systems XX
Book Subtitle
Special Issue on Advanced Techniques for Big Data Management
Editors
  • Abdelkader Hameurlain
  • Josef Küng
  • Roland Wagner
  • Sherif Sakr
  • Lizhe Wang
  • Albert Y. Zomaya
Series Title
Transactions on Large-Scale Data- and Knowledge-Centered Systems
Series Volume
9070
Copyright
2015
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-662-46703-9
DOI
10.1007/978-3-662-46703-9
Softcover ISBN
978-3-662-46702-2
Series ISSN
1869-1994
Edition Number
1
Number of Pages
XI, 159
Number of Illustrations and Tables
64 b/w illustrations
Topics