Data mining serves as a crucial field that leverages advanced algorithms to reveal hidden, yet invaluable insights buried within extensive datasets. These algorithms are drawn from a multitude of areas such as machine learning, artificial intelligence, pattern recognition, statistics, and database systems, working together to facilitate a deeper understanding and analysis of data. This course is designed to equip you with the foundational knowledge and handson experience needed to delve into the expansive world of data mining. Whether you are looking to enhance your skill set or embark on a new career path, this course will serve as a stepping stone to achieving your goals. The curriculum encompasses a range of topics that will introduce you to the core concepts and techniques prevalent in the field of data mining. These include:
Association Rules: Understand the principles behind identifying rules that highlight relationships between seemingly independent data in a database. Clustering: Learn about grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups. Classification: Gain knowledge on the procedures for identifying the predefined class of a new observation. Text Mining: Equip yourself with the skills needed to analyze and interpret large collections of text data to extract meaningful information. Data Mining Applications: Explore the various practical applications of data mining across different industries and sectors.
1.本門課程為TAICA臺灣大專院校人工智慧學程聯盟課程，採用台灣大學NTU COOL數位學習平臺進行上課。
2.上課時間：每週四12：20-15：10(或20:00-22:00)，線上收播上課連結：https://taicatw.net/fall-114/。
3.本課程為配合「TAICA 臺灣大專院校人工智慧學程聯盟」之學分學程設立，如果同學滿足學程修課要求，可申請TAICA學分學程證書。
4.學士班大三(含)以上同學可以上修。