Now showing items 1-4 of 4

    • 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 ...
    • An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge 

      Karanika A., Oikonomou P., Kolomvatsos K., Anagnostopoulos C. (2020)
      Data quality is a significant research subject for any application that requests for analytics to support decision making. It becomes very important when we focus on Internet of Things (IoT) where numerous devices can ...
    • Proactive, Correlation Based Anomaly Detection at the Edge 

      Fountas P., Kolomvatsos K. (2021)
      Data management at the edge of the network is a significant research subject. Devices being active at the Internet of Things (IoT) can collect data and transfer them to a set of edge nodes for further processing. There, ...
    • A Probabilistic Batch Oriented Proactive Workflow Management 

      Oikonomou P., Kolomvatsos K., Anagnostopoulos C., Tziritas N., Theodoropoulos G. (2021)
      Workflow management is a widely studied research subject due to its criticality for the efficient execution of various processing activities towards concluding innovative applications. The ultimate goal is to eliminate the ...