The following paper presented at the ACM KDD 2017 Workshop on Machine Learning Meets

Fashion showcases an interesting application of data science to fashion and social media:

"Identifying Fashion Accounts in Social Networks" by Doris Jung-Lin Lee, Jinda Han, Dana

Chambourova, and Ranjitha Kumar:

https://kddfashion2017.mybluemix.net/final_submissions/ML4Fashion_paper_21.pdf

Read the paper and briefly answer the following questions:

1. What was the data used for the study? Include descriptions on the type of data and the size

of the data.

2. Was the data preprocessed or cleaned before applying any modeling techniques?

3. Did the authors solve a classification, a prediction, or a clustering problem as part of the

pattern discovery stage? Justify your answer.

4. For the problem identified, which algorithm(s) the authors use to solve that problem?