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discovering access pattern using machine learning from log files

₹12500-37500 INR

Closed
Posted over 8 years ago

₹12500-37500 INR

Paid on delivery
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
Project ID: 9374823

About the project

6 proposals
Remote project
Active 8 yrs ago

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6 freelancers are bidding on average ₹34,324 INR for this job
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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 projects using open source R (including in-memory computing), and can deliver your requirement with R, accompanied by a step-by-step word document, what each line or code means. As, freelancer.com bid does not allow for attaching; cannot showcase my expertise in this area. I am available at freelance chat (click on my name and options), to understand the requirements and explain my approach if required in detail. Waiting for your reply. Regards, Dr. Kumar PM.
₹37,500 INR in 10 days
5.0 (3 reviews)
3.4
3.4
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Hi I can deliver this project using python scripting. Please do share the more details on the project so that I can proceed further.
₹27,777 INR in 10 days
0.0 (0 reviews)
0.0
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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 concepts to analysis a transactional log file. I have significant experience in software tools for performing machine learning and dataset transformations such as: scikit-learn, pandas, numpy and scipy. I can assure you that I will be able to submit your task in time with quality work. Please have a look at my profile for further details of my background and previous work. I am available for work immediately, and my rate is negotiable. I look forward to hearing from you soon. Best regards, Charanpal Dhanjal
₹33,333 INR in 10 days
0.0 (0 reviews)
0.0
0.0
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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 which a user opens a file or does some action with it are the features of the system. 3. Based on this information I need to write a code that will cluster the data into groups which shows similar behaviors. I believe I am perfect candidate for this job because of my recent experience in dealing with such tasks using both MATLAB and JAVA implementation. In addition to this my background in engineering, mathematics and business allows me work in a very structured way to deliver quality. I will approach the problem as follows. 1. Use K-means algorithm, in case the learning is unsupervised, but if the labels are provided then Neural network or SVM are faster. 2. I will first create a quick algorithm in MATLAB to test my ideas and then implement it in java. 3. In the end I will test my java implementation again with test sets and cross validation sets to find the perfect system. I hope I meet your criteria and would love to have more information on the project.
₹16,666 INR in 10 days
0.0 (0 reviews)
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India
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Member since Jan 19, 2016

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