Inductive Logic Programming (ILP) is a subfield of machine learning, focusing on learning logical representations from relational data. The ILP conference series, started in 1991, is the premier international forum for learning from structured or semi-structured relational data, multi-relational learning and data mining. Originally focusing on the induction of logic programs, over the years it has expanded its research horizon significantly and welcomes contributions to all aspects of learning in logic, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches.
The Summer School will provide a number of introductory lectures covering the main topics related to Maritime Informatics. It is intended for undergraduate and postgraduate students in the fields of computer science and maritime studies. It is also directed towards field practitioners wanting to gain insights into the most recent developments in maritime informatics. Attendees can expect a sound overview of state-of-the-art maritime informatics and the opportunity to familiarise themselves with the most commonly used datasets, reporting systems, AI and visualisation methods.
Composite Event Recognition (CER for short), also known as Complex Event Recognition, refers to the activity of detecting patterns in streams of continuously arriving “event” data over (geographically) distributed sources. CER is a key ingredient of many contemporary applications that require the processing of such event streams in order to obtain timely insights and implement reactive and proactive measures. Examples of such applications include the recognition of attacks in computer network nodes, human activities on video content, emerging stories and trends on the Social Web, traffic and transport incidents in smart cities, error conditions in smart energy grids, violations of maritime regulations, cardiac arrhythmia, epidemic spread, and the monitoring of cyber-physical systems. In each application, CER allows to make sense of streaming data, react accordingly, and prepare for counter-measures.