Pattern Recognition Approach in Multidimensional Databases: Application to the Global Terrorism Database
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 8
Abstract
This paper presents a pattern recognition approach in multidimensional databases. The approach is based on a clustering method using the distance measurement between a reference profile and the database observations. Two distance measurements will be proposed: an adaptation of the Khi2 formula to the multidimensional context, extracted from the Multiple Correspondence Analysis (MCA), and the Euclidean distance. A comparison between the two distances will be provided to retain the most efficient one for the multidimensional clustering context. The proposed approach will be applied to a real case study representing armed attacks worldwide stored in the Global Terrorism Database (GTD).
Authors and Affiliations
Semeh SALEM, Sami NAOUALI
Keywords
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- EP ID EP164779
- DOI 10.14569/IJACSA.2016.070838
- Views 112
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