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Two-party Jointly Decision Tree Algorithm

An extended version of decision tree for privacy data mining

PrivacyDecitionTree

Download

The whole project can be download from: https://github.com/monaen/PrivacyDecisionTree

Requirements

java JDK >= 1.8.0

Features

  • Extend the traditional ID3 algorithm to two-party jointly build situation.
  • Can fit the privacy situation better.

Drawbacks

  • Can only implement on the dataset which only contains two target classes.
  • Cannot deal with the case of missing value of attribute.
  • Data structure is space-consuming.

Contributors

How to use

Download from github

Run git clone https://github.com/monaen/PrivacyDecisionTree.git

Run the project at local
cd PrivacyDecisionTree/src
javac PrivacyID3.java
java PrivacyID3

Algorithm illustration

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