Advances in data streams processing

Abdelhamid Bouchachia

Advances in data streams processing

Abdelhamid Bouchachia

Bournemouth University, UK

: J Comput Eng Inf Technol

Abstract

Over the recent years, learning from data streams that evolve over time has been witnessing an ever-increasing interest within research and industry communities. Typically a wide range of applications exploit data streams for different sorts of decision making, including monitoring, industrial processes, internet traffic, surveillance, etc. In this keynote, we will discuss the state of the art of data mining techniques for data streams. In particular, we will overview stream representation and summarization, stream clustering and stream classification. We will, in particular, discuss online learning and some associated concepts such as drift handling, active online learning, and semi-supervised online learning for data streams. We will then highlight some of the open issues and research avenues related to data stream processing.