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Title: Taxonomist: Application Detection through Rich Monitoring Data.

Abstract

Abstract not provided.

Authors:
; ; ; ; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1645517
Report Number(s):
SAND2019-7399PE
Journal ID: ISSN 0302--9743; 676921
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Journal Volume: 11014; Conference: Proposed for presentation at the Machine Learning Course.
Country of Publication:
United States
Language:
English

Citation Formats

Ates, Emre, Tuncer, Ozan, Turk, Ata, Leung, Vitus J., Brandt, James M., Egele, Manuel, and Coskun, Ayse K. Taxonomist: Application Detection through Rich Monitoring Data.. United States: N. p., 2019. Web. doi:10.1007/978-3-319-96983-1_7.
Ates, Emre, Tuncer, Ozan, Turk, Ata, Leung, Vitus J., Brandt, James M., Egele, Manuel, & Coskun, Ayse K. Taxonomist: Application Detection through Rich Monitoring Data.. United States. doi:10.1007/978-3-319-96983-1_7.
Ates, Emre, Tuncer, Ozan, Turk, Ata, Leung, Vitus J., Brandt, James M., Egele, Manuel, and Coskun, Ayse K. Sat . "Taxonomist: Application Detection through Rich Monitoring Data.". United States. doi:10.1007/978-3-319-96983-1_7. https://www.osti.gov/servlets/purl/1645517.
@article{osti_1645517,
title = {Taxonomist: Application Detection through Rich Monitoring Data.},
author = {Ates, Emre and Tuncer, Ozan and Turk, Ata and Leung, Vitus J. and Brandt, James M. and Egele, Manuel and Coskun, Ayse K.},
abstractNote = {Abstract not provided.},
doi = {10.1007/978-3-319-96983-1_7},
journal = {},
issn = {0302--9743},
number = ,
volume = 11014,
place = {United States},
year = {2019},
month = {6}
}

Conference:
Other availability
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