Data mining is the process of extracting useful information from large and complex datasets. It involves applying various techniques such as classification, clustering, association, regression ...

Finally, a verification example shows that compared with a single data mining algorithm model, the proposed method is more comparative in terms of the data mining, and the established power system ...

Apriori is a well-known algorithm which is used extensively in market-basket analysis and data mining. The algorithm is used for learning association rules from transactional databases and is based on ...

Specialization: Data Mining Foundations and Practice Instructor: Dr. Qin (Christine) Lv, Associate Professor of Computer Science Prior knowledge needed: Familiarity of functionalities in Python, basic ...

An approach to extracting and summarizing key infrastructure and community impact information from wind disaster reconnaissance reports using Zero-shot text classification with BART-large models, ...

1. Classification with Decision Trees: I first explored the classification method using raw data stored in a file. By applying the Decision Tree algorithm, I was able to classify the data into ...