Transactions on Large-Scale Data- and Knowledge-Centered Systems LIV : Special Issue on Data Management - Principles, Technologies, and Applications
Language: English
Published by Springer, 2023
- Softcover
- Used
Seller: Buchpark, Trebbin, GermanyBuchpark
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Zustand: Hervorragend | 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. This, the 54th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains three fully revised and extended papers and two additional extended keynotes selected from the 38th conference on Data Management - Principles, Technologies and Applications, BDA 2022. The topics cover a wide range of timely data management research topics on temporal graph management, tensor-based data mining, time-series prediction, healthcare analytics over knowledge graphs, and explanation of database query answers.…
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- Title
- Transactions on Large-Scale Data- and Knowledge-Centered Systems LIV : Special Issue on Data Management - Principles, Technologies, and Applications
- Author
- Unbekannt
- Publisher
- Springer
- Publication year
- 2023
- Condition
- Hervorragend
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3662680130
- ISBN 13
- 9783662680131
- Seller catalogs
- 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.
This, the 54th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains three fully revised and extended papers and two additional extended keynotes selected from the 38th conference on Data Management - Principles, Technologies and Applications, BDA 2022. The topics cover a wide range of timely data management research topics on temporal graph management, tensor-based data mining, time-series prediction, healthcare analytics over knowledge graphs, and explanation of database query answers.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
This 54th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains three fully revised and extended papers and two additional extended keynotes selected from the 38th conference on Data Management - Principles, Technologies and Applications, BDA 2022. The topics cover a wide range of timely data management research topics on Temporal Graph Management, Tensor-based Data Mining, Time-Series Prediction, Healthcare Analytics over Knowledge Graphs, and Explanation of Database Query Answers.
"About the title" may belong to another edition of this title.
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