'Beating the news' with EMBERS: Forecasting civil unrest using open source indicators

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2014, Pages 1799-1808

  Ramakrishnan, Naren ^a   Butler, Patrick ^a   Muthiah, Sathappan ^a   Self, Nathan ^a   Khandpur, Rupinder ^a   Saraf, Parang ^a   Wang, Wei ^a   Cadena, Jose ^a   Vullikanti, Anil ^a   Korkmaz, Gizem ^a   Kuhlman, Chris ^a   Marathe, Achla ^a   Zhao, Liang ^a   Hua, Ting ^a   Chen, Feng ^d   Lu, Chang Tien ^a   Huang, Bert ^b   Srinivasan, Aravind ^b   Trinh, Khoa ^b   Getoor, Lise ^c   Katz, Graham ^h   Doyle, Andy ^h   Ackermann, Chris ^h   Zavorin, Ilya ^h   Ford, Jim ^h   Summers, Kristen ^h   Fayed, Youssef ^g   Arredondo, Jaime ^f   Gupta, Dipak ^f   Mares, David ^e   more..

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d State University of New York   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f SAN DIEGO STATE UNIVERSITY   (United States)

^g BASIS Technology   (United States)

^h CACI INTERNATIONAL INC   (United States)

Author keywords

civil unrest; event forecasting; open source indicators

Indexed keywords

EID: 84907021023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2623330.2623373     Document Type: Conference Paper

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