Machine Learning: Cybersecurity that Can Meet the Demands of Today as Well as the Demands of Tomorrow

Text Registration

Machine Learning: Cybersecurity that Can Meet the Demands of Today as Well as the Demands of Tomorrow

Status

Published

on 17 Sept 2019

Year of Creation

2019

Kevin Geis

Registration Number

TX0008801999

on 17 Sept 2019

The U.S. Copyright record (Registration Number: TX0008801999) dated 17 Sept 2019, pertains to an electronic file (eService) titled "Machine Learning: Cybersecurity that Can Meet the Demands of Today as Well as the Demands of Tomorrow" created in 2019. The copyright holder is Kevin Geis, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Kevin Geis.

Kevin Geis

Application Details

Registration Number

TX0008801999

Registration Date

9/17/2019

Year of Creation

2019

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Kevin Geis

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Machine Learning: Cybersecurity that Can Meet the Demands of Today as Well as the Demands of Tomorrow

Author Statement: Kevin Geis Citizenship: not known Authorship: text

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Machine Learning: Cybersecurity that Can Meet the Demands of Today as Well as the Demands of Tomorrow

Author Statement: Kevin Geis Citizenship: not known Authorship: text

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