Date of Award
Spring 2025
Degree Name
Bachelor of Science
Department
Computer Science & Mathematics; College of Arts & Sciences
First Advisor
Dr. Weihong Ni
Abstract
With the increasing use and relevancy of AI in the world, this project aims to harness the power of AI, specifically ChatGPT, to streamline the process of data mining workflows. By developing custom prompt templates, this project seeks to utilize OpenAI API to assist with key data mining tasks, including data understanding, importing, and cleaning. This approach aims to increase workflow speed, reproducibility, and accessibility in data mining projects. The effectiveness of these prompt templates is evaluated by applying them to diverse datasets and assessing their impact on accuracy, efficiency, and reproducibility. Overall, the project highlights the potential to use AI assistance to make data mining more efficient and accessible.
Recommended Citation
Montevirgen, Mia; Yan, Drew; Lu, Clara; Shen, Laurent; and Ni, Weihong, "Streamlining the Data Mining Process through AI-Driven Prompt Templates" (2025). Capstone Showcase. 3.
https://scholarworks.arcadia.edu/showcase/2025/comp_sci_math/3
Streamlining the Data Mining Process through AI-Driven Prompt Templates
With the increasing use and relevancy of AI in the world, this project aims to harness the power of AI, specifically ChatGPT, to streamline the process of data mining workflows. By developing custom prompt templates, this project seeks to utilize OpenAI API to assist with key data mining tasks, including data understanding, importing, and cleaning. This approach aims to increase workflow speed, reproducibility, and accessibility in data mining projects. The effectiveness of these prompt templates is evaluated by applying them to diverse datasets and assessing their impact on accuracy, efficiency, and reproducibility. Overall, the project highlights the potential to use AI assistance to make data mining more efficient and accessible.