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Michael Lammbrau

Biographic Data

ID5986403
NAMEMichael Lammbrau
GIVEN NAMESMichael
FAMILY NAMELammbrau
SIGNATURELAMMBRAU M
AFFILIATIONSMercyhurst University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS1
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2017
H-INDEX1
  • Detecting patterns in North Korean military provocations

    Open Access•Taehee Whang, Michael Lammbrau et al.•ARTICLE•International Relations of the…•2017

  • Talking to Whom? The Changing Audience of North Korean Nuclear Tests

    Open Access•Taehee Whang, Michael Lammbrau et al.•ARTICLE•Social Science Quarterly•2017•References: 17

    Objectives In this study, we develop a model based on big data analysis to find patterns in North Korean nuclear provocations. Methods Using automated text analysis classification through supervised machine learning techniques, we analyze the North Korean Central News Agency (KCNA) from 1997 to 2013. Results We find an interesting difference between the Kim Jong‐il era and the Kim and Jong‐un period, implying a major shift in the nuclear policy o…

  • Detecting patterns in North Korean military provocations

    Taehee Whang, Michael Lammbrau et al.•ARTICLE•International Relations of the…•2016•Cited by: 1•References: 1

    For the past two decades, North Korea has made a series of military provocations, destabilizing the regional security of East Asia. In particular, Pyongyang has launched several conventional attacks on South Korea. Although these attacks seem unpredictable and random, we attempt in this article to find some patterns in North Korean provocations. To this end, we employ a machine-learning technique to analyze news articles of the Korean Central New…

  • Detecting patterns in North Korean military provocations

    Taehee Whang, Michael Lammbrau et al.•ARTICLE•International Relations of the…•2016•Cited by: 1•References: 1

    For the past two decades, North Korea has made a series of military provocations, destabilizing the regional security of East Asia. In particular, Pyongyang has launched several conventional attacks on South Korea. Although these attacks seem unpredictable and random, we attempt in this article to find some patterns in North Korean provocations. To this end, we employ a machine-learning technique to analyze news articles of the Korean Central New…

  • Detecting patterns in North Korean military provocations

    Taehee Whang, Michael Lammbrau et al.•ARTICLE•International Relations of the…•2016•Cited by: 1•References: 1

    For the past two decades, North Korea has made a series of military provocations, destabilizing the regional security of East Asia. In particular, Pyongyang has launched several conventional attacks on South Korea. Although these attacks seem unpredictable and random, we attempt in this article to find some patterns in North Korean provocations. To this end, we employ a machine-learning technique to analyze news articles of the Korean Central New…

  • Detecting patterns in North Korean military provocations

    Open Access•Taehee Whang, Michael Lammbrau et al.•ARTICLE•International Relations of the…•2017

  • Talking to Whom? The Changing Audience of North Korean Nuclear Tests

    Open Access•Taehee Whang, Michael Lammbrau et al.•ARTICLE•Social Science Quarterly•2017•References: 17

    Objectives In this study, we develop a model based on big data analysis to find patterns in North Korean nuclear provocations. Methods Using automated text analysis classification through supervised machine learning techniques, we analyze the North Korean Central News Agency (KCNA) from 1997 to 2013. Results We find an interesting difference between the Kim Jong‐il era and the Kim and Jong‐un period, implying a major shift in the nuclear policy o…

Computer Science (2 works) · History (2 works) · Korean Peninsula Historical and Political Studies (2 works) · Political science (2 works) · Social science (2 works) · Sociology (2 works) · Technology and Data Analysis (2 works) · Aeronautics (1 work) · Agency (philosophy (1 work) · Agency (philosophy) (1 work)

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