Yayınlanmış 1 Ocak 2010
| Sürüm v1
Konferans bildirisi
Açık
Comparison of feature-based criminal network detection models with k-core and n-clique
Oluşturanlar
- 1. Univ Sunderland, Dept Comp Engn & Technol, Informat Ctr, St Peters Way, Sunderland SR6 0DD, Tyne & Wear, England
- 2. TUBITAK UEKAE, Inst Informat Technol, Gebze, Kocaeli, Turkey
- 3. German Univ Cairo, Fac Media Engn & Technol, Cairo, Egypt
Açıklama
Four group detection models (e.g. GDM, OGDM, SoDM and ComDM) are developed based on crime data features. These detection models are compared more common baseline SNA group detection algorithms. It is intended to find out, whether these four crime data specific group detection models can perform better than widely used k-core and n-clique algorithms. Two data sets which contain previously known criminal networks are used as testbeds.
Dosyalar
bib-670b2c0a-ae66-40a2-87b1-51c91426a91f.txt
Dosyalar
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