Infore


Interactive Extreme-Scale Analytics and Forecasting

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Challenges


Life Science

Advance the state-of-the-art in multi-cellular simulation for the study of the effects of drug synergies in tumor growth.

Financial

Use massive amounts of historical and near real-time market data to allow for forecasting, systemic risk estimation and decision support for the finance industry stakeholders

Maritime awareness

Perceive and reason with activities, events and threats at sea while projecting them into the future

Technological Breakthrough

Interactive Extreme-Scale Analytics and Forecasting

In a Nutshell


The aim of the INFORE project is to address the challenges posed by huge datasets and pave the way for real-time, interactive extreme-scale analytics and forecasting. Today, at an increasing rate, industrial and scientific institutions need to deal with massive data flows, streaming-in from maritime surveillance applications, financial forecasting applications or cancel cells growth simulations as well as a multitude of other sources. The ability to forecast, as early as possible, a good approximation to the outcome of a time-consuming and resource demanding computational task allows to quickly identify undesired outcomes and save valuable amount of time, effort and computational resources.

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Latest Updates


The 3rd plenary meeting of the INFORE project.

On 2-3 September Spring Techno hosted the 3rd plenary meeting of INFORE project in Bremen. More than fifteen attendees joined and agreed upon the actions for the challenging tasks that lay ahead. During the first...
[ news ]

A probabilistic interval-based event calculus for activity recognition

Activity recognition refers to the detection of temporal combinations of ‘low-level’ or ‘short-term’ activities on sensor data. Various types of uncertainty exist in activity recognition systems and this often leads to erroneous detection. Typically, the...

Complex event recognition in the Big Data era: a survey

The concept of event processing is established as a generic computational paradigm in various application fields. Events report on state changes of a system and its environment. Complex event recognition (CER) refers to the identification...

Uncertainty-Aware Event Analytics over Distributed Settings.

In complex event processing (CEP), simple derived event tuples are combined in pattern matching procedures to derive complex events (CEs) of interest. Big Data applications analyze event streams online and extract CEs to support decision...

Who is involved?


This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 825070.

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