• Clustering of high dimensional data streams 

      Tasoulis, S. K.; Tasoulis, D. K.; Plagianakos, V. P. (2012)
      Clustering of data streams has become a task of great interest in the recent years as such data formats is are becoming increasingly ambiguous. In many cases, these data are also high dimensional and in result more complex ...
    • A delay-resilient and quality-aware mechanism over incomplete contextual data streams 

      Anagnostopoulos C., Kolomvatsos K. (2016)
      We study the case of scheduling a Contextual Information Process (CIP) over incomplete multivariate contextual data streams coming from sensing devices in Internet of Things (IoT) environments. CIPs like data fusion, concept ...
    • Fall detection using commodity smart watch and smart phone 

      Maglogiannis, I.; Ioannou, C.; Spyroglou, G.; Tsanakas, P. (2014)
      Human motion data captured from wearable devices such as smart watches can be utilized for activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in ...
    • Online clustering of distributed streaming data using belief propagation techniques 

      Halkidi, M.; Koutsopoulos, I. (2011)
      Extraction of patterns out of streaming data that are generated from geographically dispersed devices is a major challenge in data mining. The sequential, distributed fashion in which data become available to the decision ...