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plese provide the code https://archive.ics.uci.edu/ml/datasets/clickstream+data+for+online+shopping There will be two files: names (with description of the data), data (dataset). This dataset contains information on clickstream from

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plese provide the code

https://archive.ics.uci.edu/ml/datasets/clickstream+data+for+online+shopping There will be two files: names (with description of the data), data (dataset). This dataset contains information on clickstream from online store offering clothing for pregnant women. Data are from five months of 2008 and include, among others, product category, location of the photo on the page, country of origin of the IP address and product price in US dollars. A research paper by the authors of this dataset describing the results can be downloaded from 1 . The dataset contains 201,814 instances and 14 features. Take a subset of this dataset (as much as your tool permits) and using the Apriori algorithm do the following: 1. Find the most popular colours (highest support) 2. Find the most popular clothing models 3. Find the most popular clothing models chosen by visitors (by country) 4. List top 10 association rules with the highest support for clothing models by country 5. List top 10 association rules with the highest lift for clothing models by country 6. Comment on the results

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