Preference-based Stream Analysis for Efficient Decision-Support Systems

L. Rudenko

erschienen 2017 Doctoral Consortium @ ADBIS 2017, Nicosia, Zypern


Stream query processing is an important development trend as more-oriented data is produced nowadays. It is not easy to relevant and intresting content in large amount of data. Furthermore unsers want to have personalized results of stream data processing which correspond to their preferences. In this paper I present first research results achieved during my work on my doctoral thesis. I also discuss open issues and challenges on the way to my goal - the development of a preference-based stream analyzer for efficient decision-support.