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Nathaniel Payne

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Conference and Workshop Papers

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2023
[c7]
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Nathaniel Payne:
An Intelligent Class - The Sequel: The Development Of A Novel Context Capturing Method For The Functional Auto Classification Of Records. IEEE Big Data 2023: 2071-2082
2022
[c6]
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Nathaniel Payne:
An Intelligent Class: The Development Of A Novel Context Capturing Method For The Functional Auto Classification Of Records. IEEE Big Data 2022: 2546-2555
2019
[c5]
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Nathaniel Payne:
An Intelligent Class: The Development Of A Novel Context Capturing Framework Supporting The Functional Auto-Classification Of Records. IEEE BigData 2019: 3136-3145
[c4]
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Cong Pu, Nathaniel Payne, Jacqueline Brown:
Self-Adjusting Share-Based Countermeasure to Interest Flooding Attack in Named Data Networking. iThings/GreenCom/CPSCom/SmartData 2019: 142-147
2018
[c3]
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Nathaniel Payne:
Stirring The Cauldron: Redefining Computational Archival Science (CAS) For The Big Data Domain. IEEE BigData 2018: 2743-2752
2017
[c2]
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Nathaniel Payne, Jason R. Baron:
Auto-categorization methods for digital archives. IEEE BigData 2017: 2288-2298
[c1]
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Jason R. Baron, Nathaniel Payne:
Dark Archives and Edemocracy: Strategies for Overcoming Access Barriers to the Public Record Archives of the Future. CeDEM 2017: 3-11

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