discovering access pattern using machine learning from log files

Encerrado Postado Jan 19, 2016 Pago na entrega
Encerrado Pago na entrega

take a log file which has transnational information such as any user XYZ is accessing PQ file at any time and is performing READ/ Write operation

now applying machine learning concept say COBWEB algorithm to find the access pattern discovery for all user...

{ all the user who belongs to role clerk from admin department are likely to access file associated with fees details, teachers salary calculation mostly from morning 10 o'oclock to afternoon 2 o'clock

another example :

all the user belong to role AD_hoc professor belonging to computer department are likely to access files like teaching scheme, student progress file with only read permission during recess hours

}

after generating access patterns list down the attributes and from that attributes generate XACML policy using OPENAM sdk of java

Extração de Dados Java Machine Learning (ML)

ID do Projeto: #9374823

Sobre o projeto

6 propostas Projeto remoto Ativo em Feb 25, 2016

6 freelancers estão ofertando em média ₹34324 nesse trabalho

kumarpm

Hi, Below is my experience, and I can deliver you quality work with in specified or agreed time with R. Myself Ph.D. in advanced analytics having 10+ years of experience in developing and delivering analytical pr Mais

₹37500 INR in 10 dias
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swethagowda

Hi I can deliver this project using python scripting. Please do share the more details on the project so that I can proceed further.

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charanpal7

Dear Sir/Madam, I am writing in relation to the job posting entitled “discovering access pattern using machine learning from log files ”. According to your job description you need someone to apply machine learning Mais

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yatharthvora

I have gathered following information related to the project from the description 1. Log files will be provided containing the training examples where each user is an example. 2. The activities and the time at whic Mais

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