From db4ec16e3cb06bf7ccd4ccd7711702b6beea9cd9 Mon Sep 17 00:00:00 2001 From: Jianfeng Chen Date: Mon, 23 Apr 2018 15:33:27 -0400 Subject: [PATCH] Update README.rst --- README.rst | 21 +++++++++------------ 1 file changed, 9 insertions(+), 12 deletions(-) diff --git a/README.rst b/README.rst index a3975fb..b7e85f2 100644 --- a/README.rst +++ b/README.rst @@ -9,8 +9,15 @@ LACE :target: https://pypi.python.org/pypi/LACE - Lace-scale Assurance of Confidentiality Environment + Lace-scale Assurance of Confidentiality Environment +* Free software: MIT license +* Documentation: http://lace.readthedocs.io/en/latest/readme.html +* Algorithm design: `Dr. Fayola Peters `_ @ Univ of Limerick, Ireland +* Package development: `Jianfeng Chen `_ @ NC State Univ, United States + +What is LACE? +------------- __ ______ ______ ________ | \ / \ / \ | \ | $$ | $$$$$$\| $$$$$$\| $$$$$$$$ @@ -21,17 +28,7 @@ LACE | $$ \| $$ | $$ \$$ $$| $$ \ \$$$$$$$$ \$$ \$$ \$$$$$$ \$$$$$$$$ - - - -* Free software: MIT license -* Documentation: http://lace.readthedocs.io/en/latest/readme.html -* Algorithm design: `Dr. Fayola Peters `_ @ Univ of Limerick, Ireland -* Package development: `Jianfeng Chen `_ @ NC State Univ, United States - - -What is LACE? -------------- + LACE, or Large-scale Assurance Configuration Environment, was firsed introduced by Dr. Peters in ICSE2013. In a short, LACE is a data preprocess algorithm. It can help user to remove the sensitive information and implicit association rules inside the date sets, while keep the utility of the data sets, typically for machine learning or big data mining. In our published articiles, we used the data to train learning models and do the prediction. There are two versions of LACE at this time. The first version, or *lace1* is constructed by two parts-- CLIFF and MORPH. *CLIFF* is to find the most valuable subset among the dataset. *MORPH* is to "shake" the data so that someone else can not reveal the original data and remove the implicit association rules among the attributes.