Note that for the supermarket dataset, you need to manually transcribe the attribute item_id from the example database to the corresponding item in the supermarket dataset. You can download the supermarket dataset from the link provided above. When you open the data set, there should be an attribute named item_id. You can change the value of item_id by hand.
This is a great article and you should publish it to AICore. You can download the dataset from here: http://www.cs.wustl.edu/~liujing/ta-feng-dataset.zip. You can also download the Weka dataset from: http://www.cs.waikato.ac.nz/ml/weka/.
The format of the ta-feng dataset is also a bit different from the supermarket one. In the supermarket dataset there is an attribute with the name item_id. This attribute holds the product codes of the items. In the ta-feng dataset, the items are indexed by the attribute item_id. For example, pepsi_1 is the first item, and it is the same as the first row in the supermarket data set. Pepsi_2 is the second item, and is the same as the second row in the supermarket data set.
Yoshua Bengio, Jean-Philippe Réjou, Meir Filali, and Pierre-Antoine Manzat. Supermarket Datasets for Learning to Spot Associations. In Proceedings of the 22nd International Conference on Machine Learning (ICML-10), pages 859-866, Dublin, Ireland, June, 2010.
There are a few problems with the links to Ta-Feng, first, they are provided by Thomas Tsang. He has not provided the dataset for me to download. We cannot download the data from arxiv.org directly. It is a problem with arxiv.org, not with Ta-Feng.
Thanks for your quick reply. I am really worried as i couldn't download the dataset. It seems that the links which you have mentioned are not available anymore. I will request you to upload the data on your server or provide the link to the dataset. I will try to download it by using some of the other sources.
I'm implementing a recommender system. For this I need to load the Supermarket dataset of Weka with my own attributes and train the database on the new attributes. I've downloaded the Supermarket dataset from the Weka software which has the class attribute, the attributes and the instances.
I'm currently working on a project and this is related to the Supermarket dataset from Weka. It's the first time I work with this dataset, but I'm sure it is not the first time you work with it.
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