Image de Google Jackets
Vue normale Vue MARC vue ISBD

Modern Management based on Big Data III Proceedings of MMBD 2022 ['Tallón-Ballesteros, Antonio J.']

Par : Contributeur(s) : Type de matériel : TexteTexteÉditeur : SAGE Publications 2022Description : pType de contenu :
Type de média :
Type de support :
ISBN :
  • 9781643683003
Sujet(s) :
Ressources en ligne : Abrégé : Data is the basic ingredient of all Big Data applications, and Big Data technologies are constantly deploying new strategies to maximise efficiency and reduce the time taken to process information. This book presents the proceedings of MMBD2022, the third edition of the conference series Modern Management based on Big Data (MMBD). The conference was originally scheduled to take place from 15 to 18 August 2022 in Seoul, South Korea, but was changed to a virtual event on the same dates. Some 200 submissions were received for presentation at the conference, 52 of which were ultimately accepted after exhaustive review by members of the programme committee and peer-reviewers, who took into account the breadth and depth of the research topics and the scope of MMBD. Topics covered include data analytics, modelling, technologies and visualization, architectures for parallel processing systems, data mining tools and techniques, machine learning algorithms, and big data for engineering applications. There are also papers covering modern management, including topics such as strategy, decision making, manufacturing and logistics-based systems, engineering economy, information systems and law-based information treatment, and papers from a special session covering big data in manufacturing, retail, healthcare, accounting, banking, education, global trading, and e-commerce. Big data analysis and emerging applications were popular topics. The book includes many innovative and original ideas, as well as results of general significance, all supported by clear and rigorous reasoning and compelling evidence and methods, and will be of interest to all those working with Big Data.
Tags de cette bibliothèque : Pas de tags pour ce titre. Connectez-vous pour ajouter des tags.
Evaluations
    Classement moyen : 0.0 (0 votes)
Nous n'avons pas d'exemplaire de ce document

Data is the basic ingredient of all Big Data applications, and Big Data technologies are constantly deploying new strategies to maximise efficiency and reduce the time taken to process information. This book presents the proceedings of MMBD2022, the third edition of the conference series Modern Management based on Big Data (MMBD). The conference was originally scheduled to take place from 15 to 18 August 2022 in Seoul, South Korea, but was changed to a virtual event on the same dates. Some 200 submissions were received for presentation at the conference, 52 of which were ultimately accepted after exhaustive review by members of the programme committee and peer-reviewers, who took into account the breadth and depth of the research topics and the scope of MMBD. Topics covered include data analytics, modelling, technologies and visualization, architectures for parallel processing systems, data mining tools and techniques, machine learning algorithms, and big data for engineering applications. There are also papers covering modern management, including topics such as strategy, decision making, manufacturing and logistics-based systems, engineering economy, information systems and law-based information treatment, and papers from a special session covering big data in manufacturing, retail, healthcare, accounting, banking, education, global trading, and e-commerce. Big data analysis and emerging applications were popular topics. The book includes many innovative and original ideas, as well as results of general significance, all supported by clear and rigorous reasoning and compelling evidence and methods, and will be of interest to all those working with Big Data.

PLUDOC

PLUDOC est la plateforme unique et centralisée de gestion des bibliothèques physiques et numériques de Guinée administré par le CEDUST. Elle est la plus grande base de données de ressources documentaires pour les Étudiants, Enseignants chercheurs et Chercheurs de Guinée.

Adresse

627 919 101/664 919 101

25 boulevard du commerce
Kaloum, Conakry, Guinée

Réseaux sociaux

Powered by Netsen Group @ 2025