A data mining framework for monitoring nuclear facilities

Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012

Volumn , Issue , 2012, Pages 917-

  Vatsavai, Ranga Raju ^a  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING ALGORITHM; DATA MINING FRAMEWORKS; MAN-MADE STRUCTURES; NATIONAL SECURITY; NUCLEAR FACILITIES; NUCLEAR PROLIFERATION; NUCLEAR TECHNOLOGY; RECENT PROGRESS; VERY HIGH RESOLUTION (VHR) IMAGE;

ALGORITHMS;

DATA MINING;

EID: 84873125440     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2012.77     Document Type: Conference Paper

References (3)

1. D. Blei and J. McAuliffe. Supervised topic models. In Neural Information Processing Systems (NIPS), 2007.
2. R. R. Vatsavai, A. Cheriyadat, and S. S. Gleason. Unsupervised semantic labeling framework for identification of complex facilities in high-resolution remote sensing images. In ICDM Workshops, pages 273-280, 2010.
3. R. R. Vatsavai and J. Graesser. Probabilistic change detection framework for analyzing settlement dynamics using very highresolution satellite imagery. Procedia CS, 9:907-916, 2012.