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From: prathamesh naik <prathamesh.naik20@gmail.com>
To: kernelnewbies@kernelnewbies.org
Subject: Predicting Process crash / Memory utlization using machine learning
Date: Wed, 9 Oct 2019 01:23:28 -0700	[thread overview]
Message-ID: <CAGG2BF5MQ1ZZCOZgKE3qznRo=Ro5Df2Hus5pKas9JZbBa0+=Sw@mail.gmail.com> (raw)


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Hi all,
            I want to work on project which can predict kernel process
crash or even user space process crash (or memory usage spikes) using
machine learning algorithms. Can someone point me what all data can be
useful for tuning my algorithm ? is there already paper on this (could not
find much articles on this) ?

Thanks,
Prathamesh

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             reply	other threads:[~2019-10-09  8:25 UTC|newest]

Thread overview: 5+ messages / expand[flat|nested]  mbox.gz  Atom feed  top
2019-10-09  8:23 prathamesh naik [this message]
2019-10-09 21:28 ` Predicting Process crash / Memory utlization using machine learning Valdis Klētnieks
2019-10-09 23:40   ` prathamesh naik
2019-10-10  7:17     ` Greg KH
2019-10-10  8:23 ` Ruben Safir

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