Replies (19)
[quote user="seancheng"]1) What attributes and measurescan i use tocompare the two methods in the context of privacy preservation? Is it in turn of computational time? [/quote]I don't think that you will be measuring computation time. You will have to define 'privacy preservation' more clearly in your context.However, a neural network's processing is more of a black box and it is not easy to see how the INPUTS correlate to the OUTPUT, in terms of it's being a blackbox, the relationships between the INPUTS are hidden while a Decision Trees on the other hand by definition, produces a very clear visual map of how different attributes weigh and direct the final output. Decision Trees are very visual and the relationships between the attributes more OPEN. Is this a privacy concern?What are your Privacy Concerns or Guidelines?Thanks
Hi Sir,For the decision tree method, we assume there are two parties each owning confidential databases and wish to run a data mining algorithm in this case the decision tree on the union of their database without revealing unnecessary information. Right now i am just thinking of ways to sort of implement and compare two privacy preservation methods. Any suggestions on that?I had downloaded the VB version of the decision tree to see how the things are run. But i have some problem executing it. There is this part where i was prompt to select the data i am to connect to and a list of OLE DB providers was provided below. How do i connect it to the Testing_Database.mdb which came together in the decision tree zip file? Can you guide me on this? Thanks.Regards,Sean
What kind of error are you getting when connecting to the database.Do you have MDAC 2.6 installed?You have to select the right Ole DB Provider for Microsoft Access.What Ole DB Provider do you need for the Version of Ms Access that you are connecting to?Thanks
[quote user="seancheng"]Hi, i am currently working on privacy data mining using classification. I had read up on the decision trees and the naive bayes methods.ihave to implement the two methods but i dont really know how to start.Can anyone provide me with some source code so i can kick start my project? Thanks[/quote]There are Visual Basic implementations of Naive Bayes and Decision Trees on this website.You can download and use it freely.Can you describe what you are trying to achieve with privacy data mining?Thanks
hi..currently.i'm working with Classification technique..and right now i have to study on decision tree..in decision treeI choosed SPRINT and ID3 as my algorithm...I found already ID3 source code in C++...but for SPRINT I can't make it..and also source code for decision tree in C++...can anyone here help me in finding the source code ....asap...regards,ROZAIDA JAAFAR
Hi Sir,Thanks for replying.Currently i am suppose to implement two methods for privacy preserving in data mining using the classification method. I am suppose to find out their efficiency and comparison of the two different methods. For the time being, i dont have a idea how to go about starting the implementation of the codes. I haveselect the decision tree classifier paperwritten by wenliang Du and Zhan Zhijun as well as privacy preservation Naive Bayes Classifier by Jaideep Vaidya.These algorithms are the modified version of the original decision tree and Naives Bayes Classifier.My objective is to find out which method is better. I have some questions.1) What attributes and measurescan i use tocompare the two methods in the context of privacy preservation? Is it in turn of computational time? 2) If the two methods run on the same dataset, what sort of output should i get?Because this is in privacy preservation context, the results are not that important but the important thing for my case was to show how privacy preservation was achieved during the implementation. How do i show that privacy preservation was achieved?3)How do i show the presence of third parties in the case of secure multi parties for the implementation?Thanks for your time and help.Waiting to hear from you.Regards,Sean
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