Big Data in Complex Systems : Challenges and Opportunities /
This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets...
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| Collectivité auteur: | |
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| Autres auteurs: | , , , , |
| Format: | eBook |
| Langue: | English |
| Publié: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Collection: | Studies in Big Data,
9 |
| Sujets: | |
| Accès en ligne: | Click here to view the full text content |
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| Résumé: | This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible. |
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| Description matérielle: | 1 online resource (viii, 499 pages) 127 illustrations, 10 illustrations in color |
| ISBN: | 9783319110561 |
| ISSN: | 2197-6503 ; |