I want XML dataset(Supermarket data are more preferable) which can directly be given as input to algorithm for association rule mining.
Dear friend
Greetings.
Given any data, you can write a simple code to format it according to the algorithm code you have written.
If you get a file according to your requirement, then its fine.
All the best.
Best regards
Dr.Indrajit Mandal
in tools like clementine there are ways to query different data formats. You can try if your university has acess
i do have Tab separated file,And i want it to convert in XML file...I didn't find Clementine as a good option because this conversion is a small part of my project.
Look at the file i have attached and provide me solution if you are aware about.
Thanks.
@ N.H.D.De Silva
Kindly refer file i have attached i.e. dataset2
First raw from dataset2
20 156 158 189 204 209 222 239 270 279 282 285 288 292 300 310 315 320 336 383
20156
158189
204209
222239
270279
282285
288292
300310
315320
336383
This kinda xml format i want.
I see.
I have attached a link Java code that will convert your input to the desired XML format.
AND
A the converted result file of your sample dataset2 file.
Please be noted that your desired XML format violates the rule that an XML file should only have one root element. I did the conversion as you asked. But I would strongly advise you to add a single root element to hold the transactions. Something like would be suitable, I think.
http://ix.cs.uoregon.edu/~nisansa/CodeSamples/CSVtoXML/CSVtoXML.java
Thanks a Lot @ Nisansa ..
This code is very much helpful.Thanx a lot.
Every Single line in dataset2.txt file is transaction say 001,002....,n
and every value that is 123 separated via tab is an item..
123 should be tagged within
i.e.
123
There are numbers of transactions with different transaction id we are generating for.
so..one single root there can be is
It is okay...
Thank you very much for help.
I want supermarket transaction dataset in XML format.Can any1 link me to???
Here are some data sets. (Conversion may be needed)
http://recsyswiki.com/wiki/Grocery_shopping_datasets
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