- human-machine interaction
- US Viit
- Integrated border management
- Entry Exit System (EES)
- smart borders
- Land border surveillance technologies
- Acoustic/seismic border surveillance system based on fiber optic
- technology showroom
- Behavior Pattern Recognition
- Graph theory
- perimeter and low flying detection
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Weka 3: Data Mining Software
Last modified:Wed, 20/03/2013 - 16:48
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
R&D Topics:Intelligence-based risk assessment, threat classification and vulnerability assessment models Real-time and near real-time text/data mining methods for processing vast amount of heterogeneous dataTrend analysis, pattern detection, cross-analysis of databases, optimisation analysisUtilisation of new sources of information for intelligence gathering and situational awareness (blogs, micro- blogs, forums, deep web, other social media)