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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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BEGIN:DAYLIGHT
DTSTART:20220313T030000
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DTSTART:20221106T010000
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DTSTAMP:20220426T010054Z
UID:E84734A0-65EA-43D1-8D22-E0257C04B47B
DTSTART;TZID=US/Eastern:20220421T180000
DTEND;TZID=US/Eastern:20220421T190000
DESCRIPTION:Dr. Lateef will provide a high-level overview of the various Ma
 chine Learning Techniques and their application to large data networks ana
 lysis. He will cover the current start of the art techniques and the chall
 enges and shortcomings. A few techniques will then be presented to address
  these challenges and demonstrate their application in network analysis.\n
 \nCo-sponsored by: NJ Coast\,  New York\, Chicago\, Long Island\, Washingt
 on\, North Jersey\, Princeton/Central Jersey and Buffalo Sections ComSoc C
 hapters and NJ Coast Sections Computer &amp; Instrumentation Joint Chapter and
  CN Affinity Group.\n\nSpeaker(s): Dr. Irfan Lateef\, \n\nVirtual: https:/
 /events.vtools.ieee.org/m/307453
LOCATION:Virtual: https://events.vtools.ieee.org/m/307453
ORGANIZER:patluri@att.com
SEQUENCE:18
SUMMARY:Machine Learning Techniques for Network Analysis
URL;VALUE=URI:https://events.vtools.ieee.org/m/307453
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Dr. Lateef will provide a high-level overv
 iew of the various Machine Learning Techniques and their application to la
 rge data networks analysis. He will cover the current start of the art tec
 hniques and the challenges and shortcomings. A few techniques will then be
  presented to address these challenges and demonstrate their application i
 n network analysis.&lt;/p&gt;
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