A Machine Learning Approach in Data Perturbation for Privacy-Preserving Data Mining

Smart Computing Techniques and Applications - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-16-1502-3_64 ◽

2021 ◽

pp. 645-654

Author(s):

Jayanti Dansana ◽

Adarsh Singh

Keyword(s):

Machine Learning ◽

Data Mining ◽

Privacy Preserving ◽

Learning Approach ◽

Data Perturbation ◽

Privacy Preserving Data Mining ◽

Machine Learning Approach

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A Comparative Study to analyze crime threats using data mining and machine learning approach

10.1109/icscan53069.2021.9526489 ◽

2021 ◽

Author(s):

Puninder Kaur ◽

Geeta Rani ◽

Taruna Sharma ◽

Avinash Sharma

Keyword(s):

Machine Learning ◽

Data Mining ◽

Comparative Study ◽

Learning Approach ◽

Machine Learning Approach ◽

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An Efficient KNN Classification by using Combination of Additive and Multiplicative Data Perturbation for Privacy Preserving Data Mining

International Journal of Engineering Trends and Technology ◽

10.14445/22315381/ijett-v22p261 ◽

2015 ◽

Vol 22 (7) ◽

pp. 290-295

Author(s):

Bhupendra Kumar Pandya ◽

◽

Umesh kumar Singh ◽

Keerti Dixit

Keyword(s):

Data Mining ◽

Privacy Preserving ◽

Data Perturbation ◽

Privacy Preserving Data Mining ◽

Knn Classification

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Additive Gaussian Noise Based Data Perturbation in Multi-Level Trust Privacy Preserving Data Mining

International Journal of Data Mining & Knowledge Management Process ◽

10.5121/ijdkp.2014.4303 ◽

2014 ◽

Vol 4 (3) ◽

pp. 21-29 ◽

Author(s):

Kalaivani R ◽

Chidambaram S

Keyword(s):

Data Mining ◽

Gaussian Noise ◽

Privacy Preserving ◽

Data Perturbation ◽

Privacy Preserving Data Mining ◽

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Privacy Preserving Location Data Publishing: A Machine Learning Approach

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2020.2964658 ◽

2020 ◽

pp. 1-1 ◽

Author(s):

Sina Shaham ◽

Ming Ding ◽

Bo Liu ◽

Shuping Dang ◽

Zihuai Lin ◽

...

Keyword(s):

Machine Learning ◽

Privacy Preserving ◽

Data Publishing ◽

Learning Approach ◽

Location Data ◽

Machine Learning Approach

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Improving the Intrusion Detection using Discriminative Machine Learning Approach and Improve the Time Complexity by Data Mining Feature Selection Methods

International Journal of Computer Applications ◽

10.5120/13209-0587 ◽

2013 ◽

Vol 76 (1) ◽

pp. 5-11 ◽

Author(s):

Karan Bajaj ◽

Amit Arora

Keyword(s):

Machine Learning ◽

Data Mining ◽

Feature Selection ◽

Intrusion Detection ◽

Time Complexity ◽

Learning Approach ◽

Selection Methods ◽

Machine Learning Approach

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Optimization of the Procedures for Checking the Functionality of the Greek Railways: Data Mining and Machine Learning Approach to Predict Passenger Train Immobilization

Advances in Science Technology and Engineering Systems Journal ◽

10.25046/aj050435 ◽

2020 ◽

Vol 5 (4) ◽

pp. 287-295

Author(s):

Ilias Kalathas ◽

Michail Papoutsidakis ◽

Chistos Drosos

Keyword(s):

Machine Learning ◽

Data Mining ◽

Learning Approach ◽

Passenger Train ◽

Machine Learning Approach

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Predicting Students’ Performance using the Machine Learning Approach in Educational Data Mining

International Journal Of Data Mining And Emerging Technologies ◽

10.5958/j.2249-3220.2.2.010 ◽

2012 ◽

Vol 2 (2) ◽

pp. 66

Author(s):

K. Shanmuga Priya ◽

A.V. Senthil Kumar

Keyword(s):

Machine Learning ◽

Data Mining ◽

Educational Data Mining ◽

Learning Approach ◽

Machine Learning Approach

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Distributed anonymous data perturbation method for privacy-preserving data mining

Journal of Zhejiang University SCIENCE A ◽

10.1631/jzus.a0820320 ◽

2009 ◽

Vol 10 (7) ◽

pp. 952-963 ◽

Author(s):

Feng Li ◽

Jin Ma ◽

Jian-hua Li

Keyword(s):

Data Mining ◽

Perturbation Method ◽

Privacy Preserving ◽

Data Perturbation ◽

Privacy Preserving Data Mining

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A Tree-Based Data Perturbation Approach for Privacy-Preserving Data Mining

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2006.136 ◽

2006 ◽

Vol 18 (9) ◽

pp. 1278-1283 ◽

Author(s):

Xiao-Bai Li ◽

S. Sarkar

Keyword(s):

Data Mining ◽

Privacy Preserving ◽

Perturbation Approach ◽

Data Perturbation ◽

Privacy Preserving Data Mining

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An improved privacy-preserving data mining technique using singular value decomposition with three-dimensional rotation data perturbation

The Journal of Supercomputing ◽

10.1007/s11227-021-03643-5 ◽

2021 ◽

Author(s):

N. Kousika ◽

K. Premalatha

Keyword(s):

Data Mining ◽

Singular Value Decomposition ◽

Three Dimensional ◽

Privacy Preserving ◽

Singular Value ◽

Data Perturbation ◽

Data Mining Technique ◽

Privacy Preserving Data Mining ◽

Mining Technique ◽

Value Decomposition

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