Overview
- Devoted to research on data analytics using machine learning and pattern recognition
- Includes application areas in wireless networks, databases and remotely sensed data
- Covers the areas of machine learning, data mining, geometric processing, trust computation, Wireless Sensor Networks, and mesh-connected processor arrays
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11820)
Part of the book sub series: Transactions on Computational Science (TCOMPUTATSCIE)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
- ad hoc networks
- artificial intelligence
- bandwidth
- communication channels (information theory)
- communication systems
- computer hardware
- computer network
- computer science
- computer systems
- data communication systems
- databases
- distributed computer systems
- distributed systems
- engineering
- internet
- internet protocols
- mathematics
- parallel processing systems
- sensors
- signal processing
About this book
The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods.
This, the 34th issue of the Transactions on Computational Science, contains seven in-depth papers focusing on research on data analytics using machine learning and pattern recognition, with applications in wireless networks, databases, and remotely sensed data.
Editors and Affiliations
Bibliographic Information
Book Title: Transactions on Computational Science XXXIV
Editors: Marina L. Gavrilova, C.J. Kenneth Tan
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-59958-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2019
Softcover ISBN: 978-3-662-59957-0Published: 05 September 2019
eBook ISBN: 978-3-662-59958-7Published: 28 August 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 137
Number of Illustrations: 43 b/w illustrations, 32 illustrations in colour
Topics: Machine Learning, Information Systems Applications (incl. Internet), Software Engineering/Programming and Operating Systems, Data Structures and Information Theory, Computer System Implementation