This paper gives an overview of recent work on machine models for processing massive amounts of data. The main focus is on generalizations of the classical data stream model where...
An increasing amount of data is produced in the form of text streams − these can be RSS news feeds, TV closed captions, emails, etc. We study the problem of answering keyword qu...
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos...
Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of...
Dimitris K. Tasoulis, Niall M. Adams, David J. Han...
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
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 ...