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#5074. Editorial to the Special Issue on Big Data in Industrial and Commercial Applications
| July 2026 | publication date |
| Proposal available till | 01-06-2025 |
| 4 total number of authors per manuscript | 0 $ |
| The title of the journal is available only for the authors who have already paid for |
| Journal’s subject area: |
| Management Information Systems; Information Systems and Management; Information Systems; Computer Science Applications; |
| place 1 | place 2 | place 3 | place 4 |
| Free | Free | Free | Free |
| 2350 $ | 1200 $ | 1050 $ | 900 $ |
Contract №5074.1   | Contract №5074.2 | Contract №5074.3 | Contract №5074.4 |
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
The amount of data collected and managed in most applications is increasing at a staggering pace. There are two main challenges associated with these enormous amounts of data: (i) we need to provide storage systems, database systems, processing platforms etc. to technically handle the data in a fast, cost-effective and secure way, and (ii) we need to develop analysis methods, e.g., AI and machine learning, that automatically can find useful trends and patterns in the data, so that we can produce business and user value. By looking at the eight papers in this special issue and related studies reported in the literature, we draw the following conclusions: (i) Big Data plays an important role in many industrial and commercial applications, (ii) the main industrial and commercial areas for Big Data applications identified are: the telecommunication domain, manufacturing, smart cities, social media, image processing and document analysis, (iii) there is a dual challenge in industrial and commercial Big Data systems: one must develop analytics that can help us find value in huge amounts of data, and at the same time provide ways of handling large amounts of data in an efficient way.
Keywords:
Data collection; Big Data; analytics; large amounts of data; storage systems; database systems
Contacts :
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
The amount of data collected and managed in most applications is increasing at a staggering pace. There are two main challenges associated with these enormous amounts of data: (i) we need to provide storage systems, database systems, processing platforms etc. to technically handle the data in a fast, cost-effective and secure way, and (ii) we need to develop analysis methods, e.g., AI and machine learning, that automatically can find useful trends and patterns in the data, so that we can produce business and user value. By looking at the eight papers in this special issue and related studies reported in the literature, we draw the following conclusions: (i) Big Data plays an important role in many industrial and commercial applications, (ii) the main industrial and commercial areas for Big Data applications identified are: the telecommunication domain, manufacturing, smart cities, social media, image processing and document analysis, (iii) there is a dual challenge in industrial and commercial Big Data systems: one must develop analytics that can help us find value in huge amounts of data, and at the same time provide ways of handling large amounts of data in an efficient way.
Keywords:
Data collection; Big Data; analytics; large amounts of data; storage systems; database systems
Contacts :
