I am desperately trying to download the Ta-Feng grocery dataset for few days but appears that all links are broken. I needed for data mining / machine learning research for my msc thesis. I also have the Microsoft grocery database, the Belgian store and Supermarket.arff from Weka. However in the research they say Ta Feng is largest and most interesting from all public available data sets.
http://recsyswiki.com/wiki/Grocery_shopping_datasets
I will be super thankful for any help :) Cheers!
The person that down voted doesn't understand the difficulty to find this valuable piece of information for machine learning related to supermarket scenarios. It is the biggest publicly available dataset containing 4 months of shopping transactions of the Ta-Feng supermarket. I got it from Prof. Chun Nan who was very kind to send it to me because the servers of his previous institute in Taiwan were not supporting it anymore. Here is a link for everybody that needs it: https://sites.google.com/site/dataminingcourse2009/spring2016/annoucement2016/assignment3/D11-02.ZIP
If anyone who uses this "Ta Feng" data set will encounter a major problem when it comes to the column names. So I thought of sharing this. Hope this would help someone immensely.
It contains these files
D11: Transaction data collected in November, 2000
D12: Transaction data collected in December, 2000
D01: Transaction data collected in January, 2001
D02: Transaction data collected in February, 2001
Format of Transaction Data
First line: Column definition in Traditional Chinese
Second line and the rest: data columns separated by ";"
Column definition
Transaction date and time (time invalid and useless)
Customer ID
Age: 10 possible values,
A <25,B 25-29,C 30-34,D 35-39,E 40-44,F 45-49,G 50-54,H 55-59,I 60-64,J >65
Residence Area: 8 possible values, A-F: zipcode area: 105,106,110,114,115,221,G: others, H: Unknown Distance to store, from the closest: 115,221,114,105,106,110
Product subclass
Product ID
Amount
Asset
Sales price
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With