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Process Query Systems
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2007.30January 2007 (vol. 40 no. 1) pp. 62-70
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George Cybenko, Vincent H. Berk, "Process Query Systems," Computer, vol. 40, no. 1, pp. 62-70, January, 2007.
 
 
BibTex
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@article{ 10.1109/MC.2007.30,
author = {George Cybenko and Vincent H. Berk},
title = {Process Query Systems},
journal ={Computer},
volume = {40},
number = {1},
issn = {0018-9162},
year = {2007},
pages = {62-70},
doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2007.30},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - MGZN
JO - Computer
TI - Process Query Systems
IS - 1
SN - 0018-9162
SP62
EP70
EPD - 62-70
A1 - George Cybenko,
A1 - Vincent H. Berk,
PY - 2007
KW - PQS modeling framework
KW - Data mining
KW - Security
KW - Environmental monitoring
KW - Process detection
VL - 40
JA - Computer
ER -
 
George Cybenko, Dartmouth College
Vincent H. Berk, Dartmouth College
Sensors produce large streams of raw events while instrumenting environments such as computer systems, communications networks, physical spaces, and human organizations. Extracting meaningful and actionable information from these events, however, remains a challenge. Process query systems, a new algorithmic and software paradigm, offers a powerful and generic way to address event-processing challenges.
Index Terms:
PQS modeling framework, Data mining, Security, Environmental monitoring, Process detection
Citation:
George Cybenko, Vincent H. Berk, "Process Query Systems," Computer, vol. 40, no. 1, pp. 62-70, Jan. 2007, doi:10.1109/MC.2007.30
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