• Analytics and Blockchain for Data Integrity in the Pharmaceuticals Industry 

      Kavasidis I., Lallas E., Gerogiannis V.C., Karageorgos A. (2022)
      The data quantity explosion that we witnessed during the last two decades has lead industrial organizations to exploit this sheer amount of data for tasks that previously would seem impossible. However, larger data volumes, ...
    • Artificial Intelligence, Big Data Analytics, and Smart Cities 

      Kiouvrekis Y., Panagiotakopoulos T., Ouranos I., Filippopoulos I. (2022)
      Modern urban life is seeing an increasing rate of adoption of artificial intelligence and smart solutions; however, citizens are still struggling to keep up the pace, and the rate at which they acquire skills and knowledge ...
    • An Efficient Time Optimized Scheme for Progressive Analytics in Big Data 

      Kolomvatsos K., Anagnostopoulos C., Hadjiefthymiades S. (2015)
      Big data analytics is the key research subject for future data driven decision making applications. Due to the large amount of data, progressive analytics could provide an efficient way for querying big data clusters. Each ...
    • Handling big data: research challenges and future directions 

      Anagnostopoulos I., Zeadally S., Exposito E. (2016)
      Today, an enormous amount of data is being continuously generated in all walks of life by all kinds of devices and systems every day. A significant portion of such data is being captured, stored, aggregated and analyzed ...