Exploring Turkish TV Series via Descriptive Data Mining

Term: 
2023-2024 Summer
Faculty Department of Project Supervisor: 
School of Management
Number of Students: 
3

In this project, we will collect data for Turkish TV series from typically multiple sources and prepare it to implement descriptive data mining methods (if possible, predictive data mining methods can also be executed). The work requires an interest in Turkish TV series as domain knowledge and a basic understanding of the steps of a business analytics project. 

 

Within the scope of this project, the team will collect and prepare Turkish TV series data and then implement the proper data mining methods in R. Based on the analysis, one might obtain clusters and characterize them or find creative ways of implementing association rules to derive applicable rules for paving the success (which needs a definition) a Turkish TV series.

Related Areas of Project: 
Computer Science and Engineering
Industrial Engineering
Economics
Management
Business Analytics

About Project Supervisors

Tevhide Altekin