This paper addresses the design and use of distributed pipelines for automated processing of sensor data streams. In particular, we focus on the detection and extraction of meanin...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
As data stream management systems (DSMSs) become more and more popular, there is an increasing need to protect such systems from adversaries. In this paper we present an approach ...
Detecting changes in a data stream is an important area of research with many applications. In this paper, we present a novel method for the detection and estimation of change. In...
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...