One common issue with most traditional Association Rule Mining (ARM) algorithms (e.g., Apriori, CARMA) is their inability to mine numerical data without first converting them into categorical ones. One common solution is to use the Binning method to convert the numerical data into categorical/nominal data. Write a research essay to discuss the following points:

• Discuss why ARM is not good at mining numerical data;

• Use your own words to describe what Binning method does;

• Discuss the potential issues of using Binning for converting numerical to categorical data. (Hint: you can cite research papers or articles to support your writing, remember to include appropriate citations of the sources)

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answers 1 ARM is not good at mining numerical data because The algorithms used in mining has so many ... View the full answer