Bio Inspired Algorithms Data Streaming (23 results)
Language: English
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Language: English
Published by Springer, 2021
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
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Taschenbuch. Condition: Neu. Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing | Simon James Fong (u. a.) | Taschenbuch | Springer Tracts in Nature-Inspired Computing | ix | Englisch | 2021 | Springer | EAN 9789811566974 | Verantwortliche Person für die EU: Springer Verlag GmbH,… Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, 2021
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
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Language: English
Published by Springer, 2020
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2020
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management f…rom pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Language: English
Published by Springer, Springer, 2021
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data manag…ement from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.
Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Language: English
Published by Springer Nature, 2021
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Softcover
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Fong, Simon James (Edited by)/ Millham, Richard C. (Edited by)
Language: English
Published by Springer, 2020
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Hardcover
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Language: English
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Language: English
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Language: English
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Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2021
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to pro…vide a more comprehensive approach to the big data management fro.
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Language: English
Published by Springer Singapore, 2020
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Hardcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides insights into recently developed bio-inspired algorithms Presents the evaluation of traditional algorithms, both sequential and parallel, for use in data mining Includes the latest work from researche…rs and experts in the.
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Language: English
Published by Springer Nature Singapore Aug 2021, 2021
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to th…e big data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research. 236 pp. Englisch.
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Language: English
Published by Springer Nature Singapore Aug 2020, 2020
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Hardcover
- Print on Demand
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big d…ata management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research. 236 pp. Englisch.
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Language: English
Published by Springer, Springer Aug 2021, 2021
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the bi…g data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 236 pp. Englisch.
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Language: English
Published by Springer, Springer Aug 2020, 2020
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Hardcover
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data…management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 236 pp. Englisch.
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Language: English
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