資料探勘與應用

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 hands-on 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.

·建議學生需已修過Python程式設計、有基本機率概念。 ·本課程期末專題採分組開發,請審慎評估可投入的時間在選課,若需退選最晚須於第十週以前退選,以避免影響同組修課同學之權益。

· 本課程為英文授課 · 遠距上課位置:https://www.youtube.com/@NTHU_ISA5810_DataMining · 課程網頁:https://www.cs.nthu.edu.tw/~yishin/courses/ISA5810/ISA5810-2025.html

· Two assignments: 20% · One short presentation: 10% · One project: 25% · One exam: 35% · Class participation (in or after class): 10%

Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining, Addison Wesley