Livraison gratuite à partir de 69.99 euros.

Vérifier l'état de la commande

Accédez à une communauté d'amateurs de livres à travers le monde et bénéficiez d’une panoplie d'avantages. Créer un compte gratuitement

Livraison gratuite avec Zásilkovna à partir de 69.99 €

Coursier DPD 5.99 € Point Bpost 7.99 € Bpost 7.49 € Point DPD 3.49 € Service de messagerie GLS 4.99 €

Contact

Comment faire ses achats

Assistance

Mon compte

▸ Vide :-(

Livraison gratuite à partir de 69.99 euros.

Big Data in Complex Systems

Name: Big Data in Complex Systems
Brand: Springer International Publishing AG
SKU: 15193364
Price: 102.73 EUR
Availability: InStock
Author: Jemal H. Abawajy
ISBN: 9783319352909

Challenges and Opportunities

Langue

Anglais

Livre Livre de poche

Code Libristo: 15193364

Éditeurs Springer International Publishing AG, septembre 2016

This volume provides challenges and Opportunities with updated, in-depth material on the application... Description détaillée

Code Libristo: 15193364

249 b

102.73 €

Stockage externe Expédition sous 5-8 jours

Jusqu'à 30 jours pour les retours

Les clients ont également acheté

Actualización en infecciones relacionadas con el uso de catéteres vasculares BENITO ALMIRANTE

Livre de poche

26.03 €

Secrets d'histoire junior - Escape game de poche - Complot à Chambord Gilles Saint-Martin Livre

Livre relié

9.38 €

notte in cui inventarono il rock Reno Brandoni

Livre de poche

18.66 €

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.