Applications of Big Data in Real-Life

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 215

Special Issue Editors


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Guest Editor
Department of Communication and Internet Studies, Cyprus University of Technology, Limassol 3036, Cyprus
Interests: artificial intelligence; multimedia information retrieval; web data mining; social computing and applications; government data processing; graph data processing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Business Administration, University of West Attica, 122 43 Egaleo, Greece
Interests: social computing; multimedia analysis and information security

Special Issue Information

Dear Colleagues,

During the last decade, “big data” has become a new ubiquitous term and a cross-disciplinary research topic. Big data are affecting research in social sciences, engineering, medicine, finance, business, politics, with an ultimate impact on our lives. The explosion of social media data and social media networks provides a proliferation of data in real time, also reflecting a significant aspect of our societal values and beliefs.

The aim of this Special Issue is to identify, record, and promote big data applications in real-life problems. Research dealing with emerging algorithms for big data processing and analysis, data utilization scenarios, needs analysis, obstacle identification, analysis and solutions, data visualization and analytics, use cases, evidence-based policy making, data-based ecosystems for solving social issues, and comparative studies concerning specific events (such as COVID-19) are foreseen. To this end, both review and ongoing research articles covering the following topics are welcome:

  • Algorithms and systems for big data search;
  • Big data analytics and visualization;
  • Big data in politics;
  • Big data and digital marketing;
  • COVID-19 data processing;
  • Datasets and algorithms’ benchmarking;
  • Deep learning for big data;
  • Fake social media account detection;
  • Fake news detection;
  • Forecasting election outcome through social media data;
  • Graph theory techniques for big data;
  • Social media data and crowdtagging;
  • Topic identification in big data.

Prof. Dr. Nicolas Tsapatsoulis
Prof. Dr. Klimis Ntalianis
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • big data
  • artificial intelligence
  • data mining
  • social media networks
  • deep learning algorithms
  • big data datasets
  • case studies

Published Papers

There is no accepted submissions to this special issue at this moment.
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