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Title: Dimensionality Reduction Algorithms for Big Nuclear Data Streams with Application to SCALE Microscopic Cross Sections

Authors:
 [1];  [1]; ORCiD logo [2];  [1]
  1. Purdue University
  2. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1286963
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: 2016 ANS Summer Meeting - New Orleans, Louisiana, United States of America - 6/12/2016 12:00:00 AM-6/16/2016 12:00:00 AM
Country of Publication:
United States
Language:
English

Citation Formats

Zhang, Siqi, Li, Yeni, Mertyurek, Ugur, and Abdel-khalik, Hany S. Dimensionality Reduction Algorithms for Big Nuclear Data Streams with Application to SCALE Microscopic Cross Sections. United States: N. p., 2016. Web.
Zhang, Siqi, Li, Yeni, Mertyurek, Ugur, & Abdel-khalik, Hany S. Dimensionality Reduction Algorithms for Big Nuclear Data Streams with Application to SCALE Microscopic Cross Sections. United States.
Zhang, Siqi, Li, Yeni, Mertyurek, Ugur, and Abdel-khalik, Hany S. Wed . "Dimensionality Reduction Algorithms for Big Nuclear Data Streams with Application to SCALE Microscopic Cross Sections". United States.
@article{osti_1286963,
title = {Dimensionality Reduction Algorithms for Big Nuclear Data Streams with Application to SCALE Microscopic Cross Sections},
author = {Zhang, Siqi and Li, Yeni and Mertyurek, Ugur and Abdel-khalik, Hany S.},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {6}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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