Journal of Computer and Communications

Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.net/journal/jcc
E-mail: [email protected]
"Big Data for Organizations: A Review"
written by Pwint Phyu Khine, Wang Zhao Shun,
published by Journal of Computer and Communications, Vol.5 No.3, 2017
has been cited by the following article(s):
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[1] Big Data in organizations: Exploring the adoption of Big Data applications and their impact on organizations in China and the Netherlands
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[2] Big Data in Hotel Companies: A Systematic Literature Review
Digital Transformation of the Hotel Industry, 2023
[3] The role of marketing intelligence dimensions in enhancing strategic sovereignty: An analytical study of the opinions of managers in a number of cement industry …
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[4] Proposta de framework conceitual de recomendações para implantação da experiência digital de clientes em hotéis
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[5] СИНТЕЗ УПРАВЛЕНЧЕСКИХ РЕШЕНИЙ ДЛЯ ОБЕСПЕЧЕНИЯ БЕЗОПАСНОСТИ ПОДЗЕМНОГО СТРОИТЕЛЬСТВА
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[6] The suitability of government health information assets for secondary use in research: A fit-for-purpose analysis
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[7] Main Government-Related Data Extraction Techniques: A Review
Padilla, AF López… - Handbook of Research …, 2022
[8] Extending The Theoretical Understanding of Big Data Analytics Capabilities In Organizations: A Thematic Analysis
2021
[9] Extending Theoretical Understanding for Defining the Capabilities of Big Data Analytics in Organisations: a Thematic Analysis
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[10] ПЕРСПЕКТИВЫ ИСПОЛЬЗОВАНИЯ ИНФОРМАЦИОННОГО РЕСУРСА BIG DATA В УПРАВЛЕНИИ ГЕОТЕХНИЧЕСКИМИ РИСКАМИ ПРИ …
2021
[11] Intelligent condition monitoring of wind power systems: State of the art review
Energies, 2021
[12] A new theoretical understanding of big data analytics capabilities in organizations: a thematic analysis
Journal of Big Data, 2021
[13] Web Based GIS Application for Borehole information Management System: The case of Addis Ababa city, Ethiopia
2021
[14] Big Data and the Revolution of Political Campaign in Indonesia
2019
[15] A preliminary note on big data and machine learning technologies
2019
[16] Application of a metallurgical enterprise information system for collection and analysis of big data and optimization of multi-agent resource conversion processes
CEUR Workshop Proceedings, 2018
[17] Development of a Hybrid Decision-Making Method Based on a Simulation-Genetic Algorithm in a Web-Oriented Metallurgical Enterprise Information System
2018
[18] Current Significance of IT-Infrastructure Enabling Industry 4.0 in Large Companies
2018
[19] Machine Learning for Big Data Processing: A Literature Review
2018
[20] A Review on Big Data Mining
2018
[21] Application of a metallurgical enterprise information system for collection and analysis of big data and optimization of multi-agent resource conversion …
2018
[22] Main Article Content
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