Machine learning for computer and cyber security : : principles, algorithms, and practices / / editors Brij B. Gupta, National Institute of Technology, Institute of National Importance, Kurukshetra, India, Michael Sheng, Department of Computing, Macquarie University, Sydney, Australia.

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Place / Publishing House:Boca Raton ;, London ;, New York : : CRC Press, Taylor & Francis Group,, [2019]
2019
Year of Publication:2019
Language:English
Online Access:
Physical Description:1 online resource (365 pages)
Notes:"A science publishers book."
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245 0 0 |a Machine learning for computer and cyber security :  |b principles, algorithms, and practices /  |c editors Brij B. Gupta, National Institute of Technology, Institute of National Importance, Kurukshetra, India, Michael Sheng, Department of Computing, Macquarie University, Sydney, Australia. 
264 1 |a Boca Raton ;  |a London ;  |a New York :  |b CRC Press, Taylor & Francis Group,  |c [2019] 
264 4 |c 2019 
300 |a 1 online resource (365 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a "A science publishers book." 
504 |a Includes bibliographical references and index. 
588 |a Description based on print version record. 
590 |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. 
650 0 |a Computer networks  |x Security measures  |x Data processing. 
650 0 |a Computer security  |x Data processing. 
650 0 |a Machine learning. 
650 0 |a Artificial intelligence. 
655 4 |a Electronic books. 
700 1 |a Gupta, Brij,  |d 1982-  |e editor. 
700 1 |a Sheng, Quan Z.,  |e editor. 
776 0 8 |i Print version:  |t Machine learning for computer and cyber security : principles, algorithms, and practices.  |d Boca Raton ; London ; New York : CRC Press, Taylor & Francis Group, c2019   |h 365 pages   |z 9781138587304   |w (DLC) 2018054743 
797 2 |a ProQuest (Firm) 
856 4 0 |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5675759  |z Click to View