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Java Project to implement Data Mining Concept (Perturbation)

Data Perturbation is a technique where noise is added to data to make it impossible to derive accurately the values of sensitive/confidential data.

The additive noise still permits the aggregate information to be read, about the overall collection of data, but does not give away accurate values.

The noise is a small randomly generated (or using certain algorithms), and added to the data.

Hence, by this method we protect individual info and releases aggregate info at same time.


1. Consider a data base D with n tuples t = {t1,}.

Each tuples contains Set of attribute A = {A1, A2.....Am} A € ti.

2. Find the sensitive attribute SAR for all SAR € Ai € A (i=1,2...m).

3. Calculate Average for all SAR (i).

4. Do

Initialize the value i = (1, 2....n).

Check if (Average ≥ SAR (i.) to count the all values C1. Calculate M1 = (2*Average)/C1

Replace SAR (i). With M1.

Check if (Average ≤ SAR (i.) to count the all values C2. Calculate M2 = (2*Average)/C2

Replace SAR (i). With M2.

Increment the value of i.

5. While (i ≥ n) 6. End.

Skills: Data Mining, Java, MySQL

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About the Employer:
( 0 reviews ) Vellore, India

Project ID: #4465206

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We have understand your requirement based on that we have dedicated team to serve your project needs. We have accomplished such tasks in the past also though its a new venture for us on this platform so you wont be ab More

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JAVA EXPERT ! Just one question, how to find the SAR ? Also, please send sample data.

$63 USD in 1 day
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I can help you.

$89 USD in 2 days
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Hi, Ready to start your work. Eagerly awaiting for your positive reply. Thanks, Shaik.

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Hello, I can help you. thanks

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