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.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
groups 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.
Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining, Addison Wesley
pang-n ing tan, Michael Stein Bach, VIP in Kumar, Introduction to data mining, Addison Wesley
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Two assignmentsTwo assignments two assignments |
20 | |
| One short presentationOne short presentation one short presentation |
10 | |
| One projectOne project one project |
25 | |
| One exam:One exam: one exam: |
35 | |
| Class participation (in or after class)Class participation (in or after class) class participation (in or after class) |
10 |
