• Approximate kNN Classification for Biomedical Data 

      Anagnostou P., Barbas P., Vrahatis A.G., Tasoulis S.K. (2020)
      We are in the era where the Big Data analytics has changed the way of interpreting the various biomedical phenomena, and as the generated data increase, the need for new machine learning methods to handle this evolution ...
    • 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 ...
    • Cherry: A Distributed Task-Aware Shuffle Service for Serverless Analytics 

      Nikitas N., Konstantinou I., Kalogeraki V., Koziris N. (2021)
      While there has been a lot of effort in recent years in optimising Big Data systems like Apache Spark and Hadoop, the all-to-all transfer of data between a MapReduce computation step, i.e., the shuffle data mechanism between ...
    • SELIS BDA: Big Data Analytics for the Logistics Domain 

      Provatas N., Kassela E., Chalvantzis N., Bakogiannis A., Giannakopoulos I., Koziris N., Konstantinou I. (2020)
      In this paper we present the SELIS Big Data Analytics and Machine Learning System (BDA), an open-source cloud-enabled elastic system that has been designed and implemented in order to address data related issues from the ...