Annotated Bibliography for the DEWPOINT project

Oehmen, Christopher S.

关键词: ALGORITHMS;    CLASSIFICATION;    DETECTION;    MANAGEMENT;    METRICS;    ORGANIZING;    PROLIFERATION;   

DOI  :  10.2172/1015289
RP-ID  :  PNNL-18370
PID  :  OSTI ID: 1015289
Others  :  Other: NN2001000
Others  :  TRN: US201111%%530

美国|英语

来源: SciTech Connect

【 摘 要 】

This bibliography covers aspects of the Detection and Early Warning of Proliferation from Online INdicators of Threat (DEWPOINT) project including 1) data management and querying, 2) baseline and advanced methods for classifying free text, and 3) algorithms to achieve the ultimate goal of inferring intent from free text sources. Metrics for assessing the quality and correctness of classification are addressed in the second group. Data management and querying include methods for efficiently storing, indexing, searching, and organizing the data we expect to operate on within the DEWPOINT project.