HackerPapers

arXiv:1802.04086cs.AI

The Complex Event Recognition Group

Elias Alevizos, Alexander Artikis, Nikos Katzouris, Evangelos Michelioudakis, Georgios Paliouras

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

Abstract

The Complex Event Recognition (CER) group is a research team, affiliated with the National Centre of Scientific Research "Demokritos" in Greece. The CER group works towards advanced and efficient methods for the recognition of complex events in a multitude of large, heterogeneous and interdependent data streams. Its research covers multiple aspects of complex event recognition, from efficient detection of patterns on event streams to handling uncertainty and noise in streams, and machine learning techniques for inferring interesting patterns. Lately, it has expanded to methods for forecasting the occurrence of events. It was founded in 2009 and currently hosts 3 senior researchers, 5 PhD students and works regularly with under-graduate students.

arXiv comments
Journal reference
DOI
Subjects
cs.AIArtificial Intelligence

On Hacker News

Linked by 1 identifiable commenter in 1 comment across 1 thread, from Nov 2020 to Nov 2020.

Comments linking this paper, per year.

Discussed in comments1 thread

  1. Wayeb: A Complex Event Processing and Forecasting Engine 1 comment

    • I am pretty convinced that stream/event forecasting is going to be the "next big thing" in AI - and this looks exactly like the kind of work needed to make progress. This is actually really exciting because I don't see a lot of event stream forecasting tools or research out…

      AndrewKemendoView on HNParent context

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.